WO2020101076A1 - Edible poultry mean weight calculation and shipment management system, and shipment management method using same - Google Patents

Edible poultry mean weight calculation and shipment management system, and shipment management method using same Download PDF

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Publication number
WO2020101076A1
WO2020101076A1 PCT/KR2018/014044 KR2018014044W WO2020101076A1 WO 2020101076 A1 WO2020101076 A1 WO 2020101076A1 KR 2018014044 W KR2018014044 W KR 2018014044W WO 2020101076 A1 WO2020101076 A1 WO 2020101076A1
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WIPO (PCT)
Prior art keywords
weight
poultry
shipment
data
average weight
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PCT/KR2018/014044
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French (fr)
Korean (ko)
Inventor
김호철
Original Assignee
주식회사 이모션
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Application filed by 주식회사 이모션 filed Critical 주식회사 이모션
Priority to US16/975,676 priority Critical patent/US20200410437A1/en
Publication of WO2020101076A1 publication Critical patent/WO2020101076A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K31/00—Housing birds
    • A01K31/002—Poultry cages, e.g. transport boxes
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K45/00—Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01G—WEIGHING
    • G01G17/00—Apparatus for or methods of weighing material of special form or property
    • G01G17/08—Apparatus for or methods of weighing material of special form or property for weighing livestock
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0833—Tracking

Definitions

  • the present invention relates to an average weight calculation and shipment management system for edible poultry and a shipment management method using the same, more specifically, an average weight measurement system for edible poultry using an algorithm for calculating average weight of edible poultry to which data density estimation theory is applied. And management of shipments through environmental control and monitoring in poultry companies.
  • broiler may refer to edible chicken including three chickens and free-range chickens.
  • broilers are bred using flat land cages, and approximately 30,000 chickens are bred in cages.
  • broiler takes about 35 days from Ichuchu (chicken influx) to adult, and is shipped, and management for a week before shipment is very important.
  • broiler chickens are shipped when the weight of the individual is in the range of about 1.35kg to 1.60kg, where the chicken is a sample of about 3% per dong (about 300 animals per 10,000 dongs). The individual weight is measured and shipped only when the weight range is reached.
  • the image recognition method has a method that can measure the weight of the chicken without stressing the chicken, it does not consume a lot of manpower, has the advantage of accumulating a large amount of weight data, depending on the movement of the chicken
  • accurate measurement is difficult when winging, etc., and objects may overlap during the measurement, and there is a need for delicate filtering such as a room for distortion of the wide-angle lens of the camera and depth of feathers and skin.
  • an error rate is large due to a large variation in weight depending on a measurement time point.
  • the present invention designed to solve the above problem is to provide an average weight measurement system for edible poultry using an average weight calculation algorithm of edible poultry to which data density estimation theory is applied and a shipping management system through poultry company environment control and monitoring.
  • a weight measuring device installed in a poultry company and measuring a weight of edible poultry in real time using a load cell;
  • a weight and shipping prediction server that receives real-time measured weight data from the weight measuring device to derive the average weight of edible poultry, and predicts shipment using the derived average weight, and an average weight derived from the weight and shipment prediction server
  • a monitoring unit provided with a predicted shipment, wherein the weight and shipment prediction server collects a plurality of the weight data and densifies the collected weight data to derive an average weight of edible poultry and derives it. It is characterized by predicting shipment using the average weight.
  • the weight measuring device the cell plate for receiving the edible poultry;
  • a cell moving pipe supporting the cell plate and moving up and down;
  • a guide holder for guiding the movement of the cell moving pipe;
  • a cell control unit connected to the guide holder and the cell moving pipe, and provided with the load cell to measure weight according to the downward movement of the cell moving pipe; It may be connected to the cell control unit to support the cell plate, cell moving pipe, guide holder and cell control unit, and may include a cell support fixed within the poultry yarn.
  • the weight measuring device further includes a haptic motor on the lower surface of the cell plate, and prevents the edible poultry contained in the cell plate from being continuously left by the vibration of the haptic motor, so that a plurality of edible poultry are contained in the cell plate. Characterized in that to induce to evenly climb on.
  • the weight measuring device further includes an environmental sensor provided on one side of the guide holder, and the environmental sensor may include at least one of a temperature, humidity, carbon dioxide, and ammonia sensor.
  • the weight and shipment prediction server a data storage unit for collecting and storing the weight data received from the weight measuring device;
  • the weight data stored in the data storage unit may be densified to derive an average weight, and may include a data processing unit to predict shipment using the derived average weight.
  • the data processing unit is characterized in that it is possible to pre-process the received weight data, accumulate the pre-processed weight data to generate a histogram according to weight and frequency, hereinafter, using Equation (1). .
  • the data processing unit estimates a smooth density function by applying a kernel density estimation using a Gaussian filter to the generated histogram, derives an average weight through the estimated smooth density function, and uses the equation 4 below to calculate the smooth density. It is characterized by estimating the function.
  • the data processing unit is characterized in that it predicts the shipment by deriving the expected average weight for a certain period in the future based on the differential value obtained by differentiating the reference weight data for each age group.
  • the weight and weight data from the shipping prediction server and further includes a data providing unit providing the average weight of the estimated edible poultry and the predicted shipment to the user, and the data providing unit is based on the predicted shipment. It is characterized by mapping the poultry company and providing it to the user.
  • the weight measuring device is further controlled by the cell control unit further includes a feed supply unit that automatically supplies feed at a set time, and the feed supply unit is characterized in that the animal is attracted to the weight measuring device.
  • a method for calculating an average weight of edible poultry and managing a shipment using a shipping management system comprising: collecting a plurality of weight data of the edible poultry for a certain time through one or more weight measuring devices installed in a poultry company where edible poultry is kept; Pre-processing the collected weight data; Accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency; The method may include estimating a smooth density function with the generated histogram, deriving an average weight through the estimated smooth density function, and predicting shipment of the edible poultry using the average weight derived above. .
  • the pre-processing of the collected weight data comprises: setting an environment setting value; And pre-processing the weight data using the set environment setting value.
  • the step of generating the histogram is generated by accumulating pre-processed weight data into a histogram according to weight and frequency, and the histogram can be generated using Equation 1 below.
  • the step of deriving the average weight includes applying a kernel density estimation using a Gaussian filter to the generated histogram to estimate a smooth density function and deriving an average weight through the estimated smooth density function,
  • the smooth density function is estimated by using Equation (4).
  • the step of predicting the shipment of the edible poultry is characterized by predicting the shipment by deriving the expected average weight for a certain period in the future based on the differential value obtained by differentiating the reference weight data for each age.
  • the method of mapping a plurality of poultry companies based on the predicted shipment to provide the user further It can contain.
  • the average weight measuring system for edible poultry according to an embodiment of the present invention and the shipping management according to the measurement can measure the weight of poultry in real time and calculate the average weight to manage shipment.
  • a poultry growth manual can be prepared through bio-information of poultry and big data of environmental information.
  • high-quality edible poultry can be shipped, thereby providing a high-productivity product to the consumer.
  • FIG. 1 is a perspective view showing a weight measuring device of the average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention.
  • Figure 2 is an exemplary view showing a further comprising a feed unit in the weight measuring device according to an embodiment of the present invention.
  • Figure 3 is a block diagram schematically showing the overall configuration of the average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention.
  • Figure 4 is a block diagram schematically showing the configuration of the weight and shipping prediction server according to an embodiment of the present invention.
  • FIG. 5 is a flowchart of a shipping management method using an average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention.
  • FIG. 6 (a) is a graph showing the collection of weight data from a weight measuring device, and (b) to (c) are densification methods of deriving an average weight using weight data of (a). It is a diagram showing the flow on the graph.
  • FIG. 7 is a flowchart of a process in which a pre-processing step is performed in the shipment management method of FIG. 5.
  • FIG. 8 is a flowchart of a process in which a step of deriving an average weight among the shipping management methods of FIG. 5 is performed.
  • FIG. 9 is a flowchart of a process in which a step of predicting shipment among shipment management methods of FIG. 5 is performed.
  • (a) is a reference weight data graph
  • (b) is a graph that differentiates the reference weight data in (a).
  • 11 is an exemplary view of knowing the shipment of the poultry company mapped based on the shipment.
  • a weight measuring device for measuring the weight of the edible poultry in real time using a load cell
  • a weight and shipping prediction server that receives real-time measured weight data from the weight measuring device to derive the average weight of edible poultry, and predicts shipment using the derived average weight, and an average weight derived from the weight and shipment prediction server
  • a monitoring unit provided with a predicted shipment, wherein the weight and shipment prediction server collects a plurality of the weight data and densifies the collected weight data to derive an average weight of edible poultry and derives it. It is possible to provide a system for calculating and shipping average weight of edible poultry, characterized by predicting shipment using the average weight.
  • the method for calculating the average weight of the edible poultry and the shipping management method using the shipping management system comprising: collecting a plurality of weight data of the edible poultry for a certain time through one or more weight measuring devices installed in the poultry company where the edible poultry is kept; Pre-processing the collected weight data; Accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency; Edible poultry comprising estimating a smooth density function with the generated histogram, deriving an average weight through the estimated smooth density function, and predicting shipment of the edible poultry using the average weight derived above. It can provide a shipping management method using the average weight calculation and shipping management system.
  • first and second are terms used to describe various components, and are not limited in meaning to themselves, and are used only to distinguish one component from other components.
  • the average weight calculation and shipment management system for edible poultry may include a weight measurement device 1, a weight and shipment prediction server 2, and a monitoring unit 3.
  • the weight measuring device 1 is installed in the poultry yarn and measures the weight of the edible poultry in real time using a load cell.
  • the weight measuring device 1 will be described in detail later.
  • the weight and shipment prediction server 2 can receive the weight data measured in real time from the weight measuring device 1 of the present invention to derive the average weight of edible poultry, and predict the shipment using the derived average weight.
  • the monitoring unit 3 may be provided with the weight and the average weight derived from the shipment prediction server 2 and the predicted shipment.
  • an operator who manages the poultry company or other related persons can output it for easy identification.
  • the monitoring unit 3 may be a terminal provided in the poultry company, or a terminal owned by a user who manages a plurality of poultry companies, such as a smartphone, a tablet PC, and a computer.
  • the average weight of the edible poultry according to an embodiment of the present invention and the weight measuring device (1) of the shipping management system is installed in one or more of each of the poultry companies, edible poultry It is formed by reflecting behavioral habits, and the weight of edible poultry can be measured using a load cell.
  • a plurality of weight measuring devices 1 are installed in the poultry house, and the installation position is formed by reflecting the behavioral behavior of the edible poultry, so that the edible poultry can be raised by itself, so that the weight of the edible poultry can be measured in real time.
  • a cell plate 10 a cell moving pipe 11, a guide holder 12, a cell control unit 13 and a cell support 14 may be included.
  • the cell plate 10 is a space for receiving edible poultry, and when edible poultry rises on the cell plate 10 of the weight measuring device 1, the weight can be measured.
  • the cell plate 10 may be formed in a circular plate shape, but this is only an embodiment of the present invention, and is not limited thereto.
  • the cell moving pipe 11 supports the cell plate 10 and can be moved up and down. To this end, the cell moving pipe 11 may be connected so that the lower end is connected to the cell plate 10 to fix the cell plate 10, and the upper end of the cell moving pipe 11 can be moved up and down with the cell control unit 13. have.
  • the top of the cell plate 10 may be inserted into the guide holder 12 and connected to the cell control unit 13, the guide holder 12 serves as a guide for vertical movement.
  • the cell moving pipe 11 is lowered. At this time, the size of the cell moving pipe 11 to the lower side depends on the weight of the edible poultry.
  • the cell moving pipe 11 is moved upward and positioned in place.
  • the guide holder 12 guides the movement of the cell moving pipe 11 and can fix the cell moving pipe 11 so as not to be shaken.
  • the guide holder 12 is formed with a hole in the center, the cell moving pipe 11 can move up and down along the hole.
  • the cell control unit 13 has a guide holder 12 and a cell moving pipe 11 connected to the lower side, and a load cell is provided to measure the weight according to the lower movement of the cell moving pipe 11.
  • the cell moving pipe 11 is moved to the lower side according to the weight of the edible poultry, the load cell increases as it moves to the lower side, deformation occurs, and the strain measurement device detects the amount of deformation as an electric signal and replaces it with a digital signal to change the weight.
  • the weight of edible poultry can be measured in a way that can be derived numerically.
  • the cell control unit 13 may measure the weight of the edible poultry in the same manner as described above and transmit the measured weight of the edible poultry to the weighing server 2. Accordingly, the weight measurement server 2 may receive the weight of the edible poultry measured from the weight measurement device 1 and collect weight data.
  • the weight data represents the weight value of the edible poultry received from the weight measuring device (1).
  • the cell support 14 may be connected to the cell control unit 13 and fixedly installed in the poultry yarn.
  • the cell support 14 can support the cell plate 10, the cell moving pipe 11, and the guide holder 12 which are interlocked together by supporting the cell control unit 13.
  • the weight measuring device 1 may further include a haptic motor 15.
  • the haptic motor 15 may be installed on the lower surface of the cell plate 10, but since it is only an embodiment of the present invention, it may be installed in various positions to vibrate the cell plate 10.
  • the haptic motor 15 vibrates the cell plate 10 to prevent certain edible poultry from remaining on the cell plate 10 due to vibration, and a plurality of edible poultry to the cell plate 10 You can induce it to climb evenly.
  • the haptic motor 15 may be controlled and vibrated by the cell control unit 13. For example, it can be set in such a way as to vibrate after the weight of the livestock is measured and controlled by the cell control unit 13.
  • the weight measurement device 1 further includes an environmental sensor provided on one side of the guide holder 12, and the environmental sensor may include at least one of a carbon dioxide measurement sensor, an ammonia measurement sensor, and a temperature and humidity sensor.
  • the ventilation device installed in the poultry house according to the state of the edible poultry in conjunction with the monitoring unit (3) , It can monitor control information related to water supply / water supply device and lighting, and can be controlled manually by the user.
  • the weight measuring device 1 may further include a feed supply unit 17.
  • the feed supply unit 17 is controlled by the cell control unit 13 and can automatically feed the set time. That is, by feeding the feed near the weight measuring device 1 through the feed supply unit 17, the number of times the animals are drawn to the weight measuring device 1 is increased by attracting the livestock to the weight measuring device 1 side.
  • the feed supply unit 17 may include a feed container 170, a stopper plate 173, a rotating shaft 175, and a motor 176.
  • the feed container 170 may be fed with feed and stored.
  • the feed container 170 may include an inlet 171 and an outlet 172.
  • Inlet 171 is formed on one side of the feed container 170, the feed can be injected from the outside.
  • the injection hole 171 is provided with a door can be opened and closed.
  • the outlet 172 is formed on the lower surface of the feed container 170, so that the feed inside the feed container 170 can be discharged.
  • the outlet 172 may be opened and closed by a stopper plate 173.
  • the stopper plate 173 is provided below the outlet 172 of the feed container 170 to open and close the outlet 172.
  • the stopper plate 173 is formed in a plate shape, and a supply hole 174 penetrating the upper and lower surfaces may be formed on one side.
  • the stopper plate is blocked at all times, and when the feed is supplied, the stopper plate 173 is rotated so that the feed can be supplied when the positions of the outlet 172 and the supply hole 174 match.
  • the rotation shaft 175 is connected to the upper surface of the stopper plate 173 so that the stopper plate 173 can be rotated by the rotation shaft 175.
  • the rotational power of the rotation shaft 175 may be transmitted from the motor 176 by the rotation shaft 175 being connected to the motor 176.
  • the motor 176 may be provided inside the upper portion of the feed container 170 or may be provided outside to be connected to the rotating shaft 175.
  • the motor 176 may be provided as a bidirectional motor.
  • the outlet 172 is always blocked by the stopper plate 173, and the motor control unit 176 is driven by the cell control unit 13 at every set time interval, so that the stopper plate 173 rotates.
  • the supply hole 174 is located at the position of the outlet 172 to supply only a certain amount of feed, and rotate again to block the outlet 172 with the stopper plate 173.
  • the feed supply unit 17 may be formed to supply feed every hour, but this is only an example of the present invention and is exemplary, and feed may be supplied hourly through devices having various structures. .
  • the feed is supplied near the weight measuring device 1 to serve as an induction, but it is supplied to the cell plate 10 of the weight measuring device 1 so that the livestock feeds the feed to the weight measuring device 1 at all. You can make it come up.
  • the weight measuring device 1 can measure the weight of a large number of dogs when the number of dogs goes up.
  • weight measuring devices 1 when two or more weight measuring devices 1 are installed in one breeding ward, when the weight of edible poultry is measured at the same time, the weights measured at the same time can be summed and transmitted to the weighing server 2.
  • the weight measuring device 1 is formed by reflecting the rising behavioral behavior when looking at a space where edible poultry (chicken, goose, duck, pheasant, etc.) can go up, thereby measuring the weight of edible poultry in real time. There is an advantage.
  • the weight and shipping prediction server 2 collects a plurality of weight data measured by the weight measuring device 1 as described above, and densifies the collected weight data. By deriving the average weight of the edible poultry, it can be predicted to ship using the derived average weight.
  • the weight and shipment prediction server 2 may include a data storage unit 21 and a data processing unit 22.
  • the data storage unit 21 may collect and store the weight data of the edible poultry received from the weight measuring device 1.
  • the weight of the edible poultry is measured in real time by the weight measuring device 1, and the weight data of the measured edible poultry is collected as much as possible.
  • the data storage unit 21 may store the weight data to be processed in the data processing unit 22 in real time.
  • the data processing unit 22 may densify the weight data stored in the data storage unit 21 to derive an average weight and predict shipment using the derived average weight.
  • the densification is based on the data density estimation theory, and an average weight can be derived using a histogram.
  • the weight data collected in a number of times in real time in the data storage unit 21 is densityd in the data processing unit 22, and at this time, the average weight is derived from a plurality of weight data groups formed by density, and this average You can predict shipment based on weight.
  • the weight and shipment prediction server 2 may further include a data providing unit 23 in addition to the data storage unit 21 and the data processing unit 22.
  • the data providing unit 23 may provide the user with the weight and the weight data from the shipment prediction server 2, the average weight of the estimated edible poultry, and the estimated shipment.
  • the data providing unit 23 is interlocked with the monitoring unit 3, and it is possible to map a plurality of poultry companies based on the predicted shipment and provide them to the user, thereby visually checking whether poultry companies can be shipped at a glance. Can be.
  • the average weight when the average weight is compared with the reference weight data, it is displayed in green if the weight is suitable for shipping, and if the average weight matches the reference weight data three days before shipment, it is displayed in blue. If the weight does not reach the reference weight data, it may be provided by being mapped to be displayed in red. This allows the user to take appropriate action.
  • the average weight calculation and shipment management system of edible poultry is weight and weight data from the shipment prediction server 2 and the average weight of the derived edible poultry, shipment predicted by the average weight, etc. Reliability by providing the entire process up to shipment, including a data providing unit (23) that can receive data for transmission and provide it to persons related to edible poultry other than workers, that is, persons who are transferred when edible poultry is shipped. You can also improve
  • the average weight of the edible poultry according to an embodiment of the present invention and the shipping management method using the shipping management system is through one or more weight measuring device (1) installed in the poultry company where edible poultry is bred
  • the present invention may be formed to collect a plurality of weight data for a predetermined time through the weight measuring device 1 in order to perform step S100.
  • the weight measuring device 1 is opened, so that food edible poultry is free to enter and implements a haptic function, so that various food edible poultry can be circulated to be a sample object, thereby collecting a lot of data.
  • the measurement time may not be limited, and may be measured in real time.
  • the step S200 is a step of pre-processing the weight data collected from the step S100, and may include setting an environment setting value (S210) and pre-processing weight data using the set environment setting value (S220).
  • Step S210 is a step of inputting a threshold value, which is an environment setting value, and presetting a threshold value to exclude weight data that does not reach the reference weight, which is a threshold value derived through a number of experiments, or weight data exceeding a long time. to be.
  • a threshold value which is an environment setting value
  • the threshold value is obtained as a result of experiments based on the measured weight data of edible poultry, and may be set to exclude values less than 0.8 times and more than 1.3 times.
  • step S220 the reference weight and the measured weight data are compared and preprocessed based on the threshold set in step S210, and the measured weight data that is less than 0.8 times and exceeds 1.3 times the threshold value for each reference weight of each age is This is a step to exclude from the input weight data for generating the histogram.
  • Step S300 is a step of accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency, and the y-axis of the generated histogram graph shown in FIG. 6A is the number of times the weight measuring device 1 measures ( Frequency), and the x-axis is the weight sensed by the weight measuring device 1.
  • a histogram of the number of weight data accumulated for weights of 380 to 400 g was generated by weight data transmitted from the weight measuring device 1 of the present invention installed in a poultry yarn, where 380 to 400 g
  • the weight data for the weight of the table is a pre-treated weight range of a large number of edible poultry that is accommodated in the weight measuring device 1 and measures the weight.
  • Equation 1 may be used to generate the histogram.
  • x is weight
  • n is the number of collected weight data
  • h is the width value
  • Count (x) is the frequency number of x
  • h is defined as 1.
  • step S400 is a step of estimating a smooth density function with the generated histogram and deriving an average weight through the estimated smooth density function, estimating the smooth density function with the generated histogram ( S410) and deriving the average weight through the estimated smooth density function (S420).
  • Step S410 is a step of estimating a smooth density function with the generated histogram, which is a step of linearizing the histogram having a discontinuous and angular square shape so that the measured weight data is easy to grasp.
  • the smooth density function may be estimated through Equations 2 to 4, which are equations related to kernel density estimation using a Gaussian filter, and the result graph may be represented as shown in FIG. 6B.
  • the function, N is defined as a Gaussian filter size of 49.
  • N is defined as 49
  • the kernel size is 49 g
  • the Gaussian mean of the reference x-24 to x + 24 is calculated to calculate the P KDE (x) of x.
  • h D is called amplitude and determines the width .
  • the above amplitude determines the overall graph shape and can be important for smooth density function estimation.
  • Step S420 is a step of deriving an average weight through the estimated smooth density function, and among the multiple weights having the highest frequency (density) in the smooth density function estimation graph (FIG.
  • a cluster a cluster of edible poultry (the highest towering portion) with the highest frequency among the clusters (topped portions) is screened, and the maximum value of the screened cluster (FIG. 6 (c)) is kept in a poultry house. The average weight of edible poultry.
  • the average weight may be derived daily through the steps S100 to S400 for each age, and may be stored and recorded in the data storage unit 21.
  • the step S400 may be the same as the role of the data processing unit 22 described above.
  • Step S500 is a step of predicting the shipment of edible poultry using the derived average weight, and comparing the average weight derived by age with the reference weight data for each age previously stored in the data storage unit 21 to predict the shipment. will be.
  • the step of storing the pre-stored reference weight data by age (S510), the step of predicting the shipment by comparing the average weight derived by age with the reference weight data by age (S520), predicted It may be made of the step of storing and mapping the shipment (S530).
  • Step S510 is a step of differentially storing pre-stored reference weight data for each age group as shown in FIG. 10 (a), and may be illustrated as a graph shown in FIG. 10 (b).
  • the x-axis of FIG. 10 (b) represents the age
  • the y-axis represents a reference weight that increases as each age passes, meaning that the value for 15-day-olds should be increased by up to 49g more than 14-day-olds.
  • Step S520 is a step of predicting shipment by comparing the standard weight data for each age-old and the average weight derived for each age.
  • the edible poultry reared in the poultry company when the average weight is 419g, through the differential reference weight data, it can be predicted that it should be 49g increased 468g when 15 days old. It is possible to predict the weight of edible poultry in a poultry company by age for a certain period of time in each future, so that it is possible to know when it is possible to have a weight suitable for shipment.
  • the environment in the poultry house may be adjusted to an optimal state.
  • Step S530 is a step of storing and mapping the predicted shipment as shown in FIG. 11, and mapping a plurality of poultry companies based on the predicted shipment to provide it to the user and may also store it.
  • the average weight measuring system for edible poultry according to the embodiment of the present invention described above and shipping management according to measurement can measure the weight of edible poultry in real time.
  • a poultry growth manual can be prepared through bio-information of poultry and big data of environmental information.
  • high-quality edible poultry can be shipped, thereby providing a high-productivity product to the consumer.

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Abstract

An edible poultry mean weight calculation and shipment management system according to an embodiment of the present invention comprises: a weight measurement device which is provided inside a poultry house and which measures the weight of the edible poultry in real time by using a load cell; a weight and shipment prediction server receiving weight data measured in real time from the weight measurement device so as to derive the mean weight of the edible poultry, and using the derived mean weight so as to predict a shipping date; and a monitoring unit for receiving the derived mean weight and the predicted shipping date from the weight and shipment prediction server, wherein the weight and shipment prediction server collects a plurality of piece of weight data, densifies the collected plurality of pieces of weight data so as to derive the mean weight of the edible poultry, and uses the derived mean weight so as to predict the shipping date.

Description

식용 가금류의 평균중량 산출 및 출하관리 시스템, 이를 이용한 출하관리 방법Calculating average weight of edible poultry and shipping management system, shipping management method using the same
본 발명은 식용 가금류의 평균중량 산출 및 출하관리 시스템 및 이를 이용한 출하관리 방법에 관한 것으로, 더욱 상세하게는 데이터밀도 추정론이 적용되는 식용 가금류의 평균중량 산출 알고리즘을 이용한 식용 가금류의 평균중량 측정 시스템과 가금사 내의 환경 제어 및 모니터링을 통한 출하관리에 관한 것이다.The present invention relates to an average weight calculation and shipment management system for edible poultry and a shipment management method using the same, more specifically, an average weight measurement system for edible poultry using an algorithm for calculating average weight of edible poultry to which data density estimation theory is applied. And management of shipments through environmental control and monitoring in poultry companies.
식용 가능한 가금류 중 일 예를 들면 육계는 삼계, 토종닭을 포함하는 식용 닭을 말할 수 있다.As an example of edible poultry, broiler may refer to edible chicken including three chickens and free-range chickens.
이때, 육계는 평지계사를 이용하여 사육되며, 대략 계사에는 3만마리 이상의 닭을 사육한다.At this time, broilers are bred using flat land cages, and approximately 30,000 chickens are bred in cages.
또한, 육계는 입추(병아리 유입)부터 성체까지 대략 35일이 소요되어 출하가되며, 출하 전 일주일 동안의 관리가 매우 중요하다.In addition, broiler takes about 35 days from Ichuchu (chicken influx) to adult, and is shipped, and management for a week before shipment is very important.
일 예로, 육계의 경우를 살펴보면 닭은 개체의 중량이 약 1.35kg 내지 1.60kg의 범위에 있을 때 출하되며, 이때 닭은 1동 당 약 3%(1동의 1만수 기준으로 약 300마리)의 표본 개체 중량을 측정하여 상기 중량범위에 도달할 시에만 출하하게 된다.For example, looking at the case of broiler chickens are shipped when the weight of the individual is in the range of about 1.35kg to 1.60kg, where the chicken is a sample of about 3% per dong (about 300 animals per 10,000 dongs). The individual weight is measured and shipped only when the weight range is reached.
따라서, 육계 사육시, 닭의 중량변화를 일령별로 확인함으로써 질병 감염여부를 예찰하는 한편, 닭이 표준성장곡선을 따라 건강하게 성장할 수 있도록 닭의 중량변화에 따라 급이량과 급수량을 적절하게 조절해 주어야 한다.Therefore, when breeding broilers, it is possible to predict whether or not a disease infection occurs by checking the weight change of chickens by age, while appropriately adjusting the feed amount and water supply amount according to the weight change of the chicken so that the chicken can grow healthily along the standard growth curve. You have to do it.
즉, 닭 사육시, 매일 한번씩 닭의 중량을 측정하여 그 중량변화에 따라 적절한 조취를 취하는 것이 닭의 생산성 향상을 위하여 무엇보다 중요한 일이라 할 수 있다.In other words, when raising chickens, it is most important to improve chicken productivity by measuring the weight of chickens once a day and taking appropriate measures according to the changes in weight.
종래는 계량하고자 하는 물체를 올려놓는 짐판이 평평한 평면을 갖도록 구성된 저울을 사용함으로써, 닭 계량시, 한 사람이 양손으로 닭을 잡은 상태로 평평한 짐판 위에 올려놓으면 다른 사람이 그 저울의 눈금을 읽어 기록하는 방식을 이용하였다.Conventionally, by using a scale configured to have a flat surface on which the object to be weighed has a flat surface, when a chicken is weighed, when one person holds the chicken with both hands and puts it on a flat surface, the other person reads the scale and records it. Method was used.
그러나, 평평한 짐판 위에 올려진 닭의 움직임에 따라 눈금이 계속 변동하게 되어 정확한 무게값을 측정하기 어려운 문제점이 있었다.However, the scale constantly fluctuates according to the movement of the chicken placed on the flat load plate, and thus there is a problem in that it is difficult to measure an accurate weight value.
다른 방법으로는 깔때기 형상의 수용통을 구성한 저울을 사용하여 닭을 수용통에 거꾸로 넣어 무게를 측정하는 방법이 있으나, 이는 닭의 스트레스를 증가시키는 문제점이 있었다.As another method, there is a method of measuring the weight by placing the chicken upside down in a container using a scale comprising a funnel-shaped container, which increases the stress of the chicken.
또한, 이러한 종래 저울들을 이용하여 닭을 계량하는 경우, 살아 움직이는 닭을 저울에 올려놓는 사람과 저울 눈금을 읽어 기록하는 사람이 함께 작업을 해야 함으로써, 적어도 2인 이상의 작업자가 함께 작업을 해야만 하는 불편함이 있었다.In addition, when weighing chickens using these conventional scales, it is inconvenient for at least two or more workers to work together, because the person who puts the live chicken on the scale and the person who reads and records the scale scale must work together. There was a ship.
이뿐만 아니라, 종래의 닭 계량시, 저울에 나타난 눈금을 작업자가 일일이 직접 기록해야 함으로써, 수백 수천마리 닭의 무게를 매일 측정하기에는 너무도 많은 시간이 소요되며, 이에 대부분의 농가에서는 닭의 닭의 중량 측정하기에 시간과 노동력이 많이 들고, 대부분 경험농에 의지하며 닭의 성장상태를 관리하고 있다. In addition, when weighing conventional chickens, the scales displayed on the scale must be manually recorded by the operator, so it takes too much time to measure the weight of hundreds of thousands of chickens every day. It takes a lot of time and labor to measure, and mostly relies on experienced farmers to manage chicken growth.
근래에는 영상 시스템이 발전함에 따라 상기 영상 시스템을 계사 내에 설치하여 닭의 크기로 중량을 판별하는 영상 인식 방식이 제안되었다.In recent years, as the imaging system has been developed, an image recognition method has been proposed in which the imaging system is installed in the cage to discriminate the weight by the size of the chicken.
이러한, 영상 인식 방식은 닭에게 스트레스를 주지 않고도 닭의 중량을 측정할 수 있는 방법이 있으며, 인력이 많이 소모되지 않고, 많은 양의 중량 데이터를 축적할 수 있는 장점이 있으나, 닭의 움직임에 따라 날개짓 등을 할 때에는 정확한 측정이 어렵고, 측정시에 개체가 중첩될 수 있으며, 카메라의 광각렌즈 왜곡의 여지와, 깃털과 피부의 깊이 등 섬세한 필터링이 요구되는 단점이 있다. 또한, 이러한 단점으로 인해 측정시점에 따라 무게의 편차가 매우 커져 오차율이 큰 문제점이 있다.This, the image recognition method has a method that can measure the weight of the chicken without stressing the chicken, it does not consume a lot of manpower, has the advantage of accumulating a large amount of weight data, depending on the movement of the chicken There are disadvantages in that accurate measurement is difficult when winging, etc., and objects may overlap during the measurement, and there is a need for delicate filtering such as a room for distortion of the wide-angle lens of the camera and depth of feathers and skin. In addition, due to these shortcomings, there is a problem in that an error rate is large due to a large variation in weight depending on a measurement time point.
육계의 경우 중량에 의해 출하시기가 늦어지게 되면 추가적인 사료와 계사 관리비용 증가로 농가 매출이 저하된다. 계약 중량미달인 상태에서 출하가 되면 중량미달인 상태에서 출하가 되면 상품성 저하로 매출이 저하된다. In the case of broiler, if the shipment is delayed due to the weight, the farm sales decrease due to the increase in the cost of additional feed and cage management. If the product is shipped under the contracted weight, the shipment will be deteriorated due to the deterioration of productability when the product is shipped under the underweight condition.
따라서, 식용 가금류에 대해 생체정보 (중량 등)와 환경정보(온도, 습도, 이산화탄소, 암모니아 등)를 실시간 측정하여 환경제어 및 모니터링, 출하관리를 할 수 있는 시스템의 도입이 시급한 실정이다.Accordingly, it is urgent to introduce a system capable of environmental control, monitoring, and shipment management by measuring real-time information (temperature, humidity, carbon dioxide, ammonia, etc.) and environmental information (such as weight) and edible poultry.
상기 문제를 해결하고자 고안된 본 발명은 데이터밀도 추정론이 적용되는 식용 가금류의 평균 중량 산출 알고리즘을 이용한 식용 가금류의 평균중량 측정 시스템과 가금사 환경 제어 및 모니터링을 통한 출하관리 시스템을 제공하는 데 있다.The present invention designed to solve the above problem is to provide an average weight measurement system for edible poultry using an average weight calculation algorithm of edible poultry to which data density estimation theory is applied and a shipping management system through poultry company environment control and monitoring.
상기 문제를 해결하기 위한 본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템에 있어서, 가금사 내에 설치되며, 로드셀을 이용하여 식용 가금류의 중량을 실시간으로 측정하는 중량 측정 장치; 상기 중량 측정 장치로부터 실시간 측정된 중량데이터를 전송받아 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 중량 및 출하예측 서버 및 상기 중량 및 출하예측 서버로부터 도출된 평균중량과 예측된 출하시기를 제공 받는 모니터링부를 포함하되, 상기 중량 및 출하예측 서버는, 상기 중량데이터를 다수 수집하고, 수집된 상기 다수의 중량데이터를 밀도화하여 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 것을 특징으로 한다.In the system for calculating and shipping average weight of edible poultry according to an embodiment of the present invention for solving the above problems, a weight measuring device installed in a poultry company and measuring a weight of edible poultry in real time using a load cell; A weight and shipping prediction server that receives real-time measured weight data from the weight measuring device to derive the average weight of edible poultry, and predicts shipment using the derived average weight, and an average weight derived from the weight and shipment prediction server And a monitoring unit provided with a predicted shipment, wherein the weight and shipment prediction server collects a plurality of the weight data and densifies the collected weight data to derive an average weight of edible poultry and derives it. It is characterized by predicting shipment using the average weight.
또한, 상기 중량 측정 장치는, 상기 식용 가금류를 수용하는 셀 플레이트; 상기 셀 플레이트를 지지하고 상하 이동되는 셀 이동파이프; 상기 셀 이동파이프의 이동을 가이드하는 가이드 홀더; 상기 가이드 홀더 및 셀 이동파이프가 연결되고, 상기 로드셀이 구비되어 상기 셀 이동파이프의 하측이동에 따라 중량을 측정하는 셀 제어부; 상기 셀 제어부와 연결되어 상기 셀 플레이트, 셀 이동파이프, 가이드 홀더 및 셀 제어부를 지지하며, 상기 가금사 내에 고정되는 셀 지지대를 포함할 수 있다.In addition, the weight measuring device, the cell plate for receiving the edible poultry; A cell moving pipe supporting the cell plate and moving up and down; A guide holder for guiding the movement of the cell moving pipe; A cell control unit connected to the guide holder and the cell moving pipe, and provided with the load cell to measure weight according to the downward movement of the cell moving pipe; It may be connected to the cell control unit to support the cell plate, cell moving pipe, guide holder and cell control unit, and may include a cell support fixed within the poultry yarn.
또한, 상기 중량 측정 장치는, 상기 셀 플레이트 하면에 햅틱모터를 더 포함하고, 상기 햅틱모터의 진동에 의해 상기 셀 플레이트에 수용된 식용 가금류가 지속적으로 잔존하는 것을 방지하여 다수의 식용 가금류가 상기 셀 플레이트에 고루 올라오도록 유도하는 것을 특징으로 한다.In addition, the weight measuring device further includes a haptic motor on the lower surface of the cell plate, and prevents the edible poultry contained in the cell plate from being continuously left by the vibration of the haptic motor, so that a plurality of edible poultry are contained in the cell plate. Characterized in that to induce to evenly climb on.
또한, 상기 중량 측정장치는, 상기 가이드 홀더 일측에 구비되는 환경센서를 더 포함하고, 상기 환경센서는 온습도, 이산화탄소, 암모니아 센서 중 하나 이상을 포함할 수 있다.In addition, the weight measuring device further includes an environmental sensor provided on one side of the guide holder, and the environmental sensor may include at least one of a temperature, humidity, carbon dioxide, and ammonia sensor.
또한, 상기 중량 및 출하예측 서버는, 상기 중량 측정 장치로부터 전송받은 상기 중량데이터를 수집하고 저장하는 데이터 저장부; 상기 데이터 저장부에 저장된 중량데이터를 상기 밀도화하여 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 데이터 처리부를 포함할 수 있다.In addition, the weight and shipment prediction server, a data storage unit for collecting and storing the weight data received from the weight measuring device; The weight data stored in the data storage unit may be densified to derive an average weight, and may include a data processing unit to predict shipment using the derived average weight.
또한, 상기 데이터 처리부는, 수신된 중량데이터를 전처리하며, 전처리된 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하고, 이하, 수학식 1을 이용해 상기 히스토그램을 생성할 수 있는 것을 특징으로 한다.In addition, the data processing unit is characterized in that it is possible to pre-process the received weight data, accumulate the pre-processed weight data to generate a histogram according to weight and frequency, hereinafter, using Equation (1). .
[수학식 1][Equation 1]
Figure PCTKR2018014044-appb-I000001
Figure PCTKR2018014044-appb-I000001
(여기서, x는 중량, n은 수집된 중량 데이터의 수, h는 폭 값, Count(x)는 x의 빈도 수이다)(Where x is the weight, n is the number of weight data collected, h is the width value, Count (x) is the frequency number of x)
또한, 상기 데이터 처리부는, 생성된 히스토그램에 가우시안 필터를 이용한 커널 밀도 추정을 적용하여 스무스 밀도 함수를 추정하고, 추정된 스무스 밀도 함수를 통해 평균중량을 도출하고, 이하, 수학식 4를 이용해 스무스 밀도 함수를 추정하는 것을 특징으로 한다.In addition, the data processing unit estimates a smooth density function by applying a kernel density estimation using a Gaussian filter to the generated histogram, derives an average weight through the estimated smooth density function, and uses the equation 4 below to calculate the smooth density. It is characterized by estimating the function.
[수학식 4][Equation 4]
Figure PCTKR2018014044-appb-I000002
Figure PCTKR2018014044-appb-I000002
(여기서, x는 중량, h는 진폭=1, PKDE(x)는 x에 해당하는 가우스 필터(커널)을 이용한 스무스 밀도 함수 추정 결과, K는 가우시안 커널 함수, N은 가우스 필터 사이즈로 49로 정의한다)(Where x is weight, h is amplitude = 1, P KDE (x) is a smooth density function estimation using a Gaussian filter (kernel) corresponding to x, K is a Gaussian kernel function, and N is a Gaussian filter size of 49 define)
또한, 상기 데이터 처리부는, 기 입력된 일령별 기준 중량데이터를 미분한 미분값을 기반으로 향후 일정 기간의 예상 평균중량을 도출하여 출하시기를 예측하는 것을 특징으로 한다.In addition, the data processing unit is characterized in that it predicts the shipment by deriving the expected average weight for a certain period in the future based on the differential value obtained by differentiating the reference weight data for each age group.
또한, 상기 중량 및 출하예측 서버로부터 중량데이터, 추정된 식용 가금류의 평균중량과 예측된 출하시기를 사용자에게 제공하는 데이터 제공부를 더 포함하고, 상기 데이터 제공부는, 예측된 출하시기를 기반으로 다수의 가금사를 맵핑하여 사용자에게 제공하는 것을 특징으로 한다.In addition, the weight and weight data from the shipping prediction server, and further includes a data providing unit providing the average weight of the estimated edible poultry and the predicted shipment to the user, and the data providing unit is based on the predicted shipment. It is characterized by mapping the poultry company and providing it to the user.
또한, 상기 중량 측정 장치는, 상기 셀 제어부에 의해 제어되어 설정된 시간마다 자동으로 사료를 공급하는 사료 공급부를 더 포함하고, 상기 사료 공급부는, 가축을 중량 측정 장치로 유인하는 것을 특징으로 한다.In addition, the weight measuring device is further controlled by the cell control unit further includes a feed supply unit that automatically supplies feed at a set time, and the feed supply unit is characterized in that the animal is attracted to the weight measuring device.
식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법에 있어서, 식용 가금류가 사육되는 가금사 내에 설치된 하나 이상의 중량 측정 장치를 통해 일정시간 상기 식용 가금류의 중량데이터를 다수 수집하는 단계; 상기 수집된 중량데이터를 전처리하는 단계; 전처리된 다수의 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하는 단계; 상기 생성된 히스토그램으로 스무스 밀도 함수를 추정하고, 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계 및 상기에서 도출된 평균중량을 이용하여 상기 식용 가금류의 출하시기를 예측하는 단계를 포함할 수 있다.A method for calculating an average weight of edible poultry and managing a shipment using a shipping management system, the method comprising: collecting a plurality of weight data of the edible poultry for a certain time through one or more weight measuring devices installed in a poultry company where edible poultry is kept; Pre-processing the collected weight data; Accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency; The method may include estimating a smooth density function with the generated histogram, deriving an average weight through the estimated smooth density function, and predicting shipment of the edible poultry using the average weight derived above. .
또한, 상기 수집된 중량데이터를 전처리하는 단계는, 환경설정 값을 설정하는 단계; 상기 설정된 환경설정 값을 이용하여 중량데이터를 전처리하는 단계를 포함할 수 있다.In addition, the pre-processing of the collected weight data comprises: setting an environment setting value; And pre-processing the weight data using the set environment setting value.
또한, 상기 히스토그램으로 생성하는 단계는, 전처리된 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하며, 이하, 상기 히스토그램은 수학식 1을 이용해 생성할 수 있는 것을 특징으로 한다.In addition, the step of generating the histogram is generated by accumulating pre-processed weight data into a histogram according to weight and frequency, and the histogram can be generated using Equation 1 below.
[수학식 1][Equation 1]
Figure PCTKR2018014044-appb-I000003
Figure PCTKR2018014044-appb-I000003
(여기서, x는 중량, n은 수집된 중량 데이터의 수, h는 폭 값, Count(x)는 x의 빈도 수이다)  (Where x is the weight, n is the number of weight data collected, h is the width value, Count (x) is the frequency number of x)
또한, 상기 평균중량을 도출하는 단계는, 생성된 히스토그램에 가우시안 필터를 이용한 커널 밀도 추정을 적용하여 스무스 밀도 함수를 추정하는 단계 및 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계를 포함하며, 이하, 수학식 4를 이용해 스무스 밀도 함수를 추정하는 것을 특징으로 한다.In addition, the step of deriving the average weight includes applying a kernel density estimation using a Gaussian filter to the generated histogram to estimate a smooth density function and deriving an average weight through the estimated smooth density function, Hereinafter, the smooth density function is estimated by using Equation (4).
[수학식 4][Equation 4]
Figure PCTKR2018014044-appb-I000004
Figure PCTKR2018014044-appb-I000004
(여기서, x는 중량, hD는 진폭=1, PKDE(x)는 x에 해당하는 가우스 필터(커널)을 이용한 스무스 밀도 함수 추정 결과, K는 가우시안 커널 함수, N은 가우스 필터 사이즈로 49로 정의한다)(Where x is weight, h D is amplitude = 1, P KDE (x) is a smooth density function estimation using a Gaussian filter (kernel) corresponding to x, K is a Gaussian kernel function, and N is a Gaussian filter size of 49 Is defined as)
또한, 상기 식용 가금류의 출하시기를 예측하는 단계는, 기 입력된 일령별 기준 중량데이터를 미분한 미분값을 기반으로 향후 일정 기간의 예상 평균중량을 도출하여 출하시기를 예측하는 것을 특징으로 한다.In addition, the step of predicting the shipment of the edible poultry is characterized by predicting the shipment by deriving the expected average weight for a certain period in the future based on the differential value obtained by differentiating the reference weight data for each age.
또한, 상기 식용 가금류의 출하시기를 예측하는 단계이후에, 예측된 출하시기를 저장 및 맵핑하여 제공하는 단계로써, 예측된 출하시기를 기반으로 다수의 가금사를 맵핑하여 사용자에게 제공하는 단계를 더 포함할 수 있다.In addition, after the step of predicting the shipment of the edible poultry, as a step of storing and mapping the predicted shipment, the method of mapping a plurality of poultry companies based on the predicted shipment to provide the user further It can contain.
본 발명의 실시 예에 따른 식용 가금류의 평균중량 측정 시스템과 측정에 따른 출하관리는 가금류의 중량을 실시간 측정하여 평균중량 산출이 가능하여 출하시기를 관리할 수 있다.The average weight measuring system for edible poultry according to an embodiment of the present invention and the shipping management according to the measurement can measure the weight of poultry in real time and calculate the average weight to manage shipment.
또한, 식용 가금류의 상태를 모니터링 하여 출하시기를 관리할 수 있다.In addition, it is possible to manage the shipment by monitoring the condition of edible poultry.
또한, 가금사 환경을 제어 및 모니터링하여 식용 가금류에게 좋은 사육 환경을 제공할 수 있다. In addition, it is possible to provide a good breeding environment for edible poultry by controlling and monitoring the poultry environment.
또한, 모든 가금류에 적용할 수 있는 장점이 있어 사육시스템에 폭 넓게 이용될 수 있는 장점이 있다.In addition, there is an advantage that can be applied to all poultry, it can be widely used in breeding systems.
또한, 가금류의 생체정보와 환경정보 빅데이터화를 통하여 가금류 생장 매뉴얼을 작성할 수 있다.In addition, a poultry growth manual can be prepared through bio-information of poultry and big data of environmental information.
또한, 품질이 좋은 식용 가금류를 출하할 수 있어 상품성이 높은 상품을 소비자에게 제공할 수 있다.In addition, high-quality edible poultry can be shipped, thereby providing a high-productivity product to the consumer.
또한, 손실 비용, 노동력 및 사료비를 절감시킬 수 있다.In addition, the cost of loss, labor and feed costs can be reduced.
도 1은 본 발명의 실시예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템의 중량 측정 장치를 도시한 사시도이다.1 is a perspective view showing a weight measuring device of the average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention.
도 2는 본 발명의 실시 예에 따른 중량 측정 장치에 사료공급부를 더 포함하여 도시한 예시도이다.Figure 2 is an exemplary view showing a further comprising a feed unit in the weight measuring device according to an embodiment of the present invention.
도 3은 본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템의 전체적인 구성을 개략적으로 나타낸 블록도이다.Figure 3 is a block diagram schematically showing the overall configuration of the average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention.
도 4는 본 발명의 실시 예에 따른 중량 및 출하예측 서버의 구성을 개략적으로 도시한 블록도이다.Figure 4 is a block diagram schematically showing the configuration of the weight and shipping prediction server according to an embodiment of the present invention.
도 5는 본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법의 흐름도이다.5 is a flowchart of a shipping management method using an average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention.
도 6의 (a)는 중량 측정 장치로부터 중량데이터를 수집하는 것을 그래프로 표기한 도면이며, (b) 내지 (c)는 (a)의 중량데이터를 이용하여 평균중량을 도출하는 밀도화 방법의 흐름을 그래프에 표기한 도면이다.FIG. 6 (a) is a graph showing the collection of weight data from a weight measuring device, and (b) to (c) are densification methods of deriving an average weight using weight data of (a). It is a diagram showing the flow on the graph.
도 7은 도 5의 출하관리 방법 중, 전처리하는 단계가 이루어지는 과정의 흐름도이다.7 is a flowchart of a process in which a pre-processing step is performed in the shipment management method of FIG. 5.
도 8은 도 5의 출하관리 방법 중, 평균중량을 도출하는 단계가 이루어지는 과정의 흐름도이다.8 is a flowchart of a process in which a step of deriving an average weight among the shipping management methods of FIG. 5 is performed.
도 9는 도 5의 출하관리 방법 중, 출하시기를 예측하는 단계가 이루어지는 과정의 흐름도이다.9 is a flowchart of a process in which a step of predicting shipment among shipment management methods of FIG. 5 is performed.
도 10의 (a)는 기준 중량데이터 그래프, (b)는 (a)의 기준 중량데이터를 미분한 그래프이다.10 (a) is a reference weight data graph, and (b) is a graph that differentiates the reference weight data in (a).
도 11은 출하시기를 기반으로 맵핑된 가금사의 출하여부를 알 수 있는 예시도이다.11 is an exemplary view of knowing the shipment of the poultry company mapped based on the shipment.
본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템에 있어서, 가금사 내에 설치되며, 로드셀을 이용하여 식용 가금류의 중량을 실시간으로 측정하는 중량 측정 장치; 상기 중량 측정 장치로부터 실시간 측정된 중량데이터를 전송받아 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 중량 및 출하예측 서버 및 상기 중량 및 출하예측 서버로부터 도출된 평균중량과 예측된 출하시기를 제공 받는 모니터링부를 포함하되, 상기 중량 및 출하예측 서버는, 상기 중량데이터를 다수 수집하고, 수집된 상기 다수의 중량데이터를 밀도화하여 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템을 제공할 수 있다.In the average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention, installed in the poultry company, a weight measuring device for measuring the weight of the edible poultry in real time using a load cell; A weight and shipping prediction server that receives real-time measured weight data from the weight measuring device to derive the average weight of edible poultry, and predicts shipment using the derived average weight, and an average weight derived from the weight and shipment prediction server And a monitoring unit provided with a predicted shipment, wherein the weight and shipment prediction server collects a plurality of the weight data and densifies the collected weight data to derive an average weight of edible poultry and derives it. It is possible to provide a system for calculating and shipping average weight of edible poultry, characterized by predicting shipment using the average weight.
한편, 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법에 있어서, 식용 가금류가 사육되는 가금사 내에 설치된 하나 이상의 중량 측정 장치를 통해 일정시간 상기 식용 가금류의 중량데이터를 다수 수집하는 단계; 상기 수집된 중량데이터를 전처리하는 단계; 전처리된 다수의 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하는 단계; 상기 생성된 히스토그램으로 스무스 밀도 함수를 추정하고, 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계 및 상기에서 도출된 평균중량을 이용하여 상기 식용 가금류의 출하시기를 예측하는 단계를 포함하는 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법을 제공할 수 있다.On the other hand, the method for calculating the average weight of the edible poultry and the shipping management method using the shipping management system, comprising: collecting a plurality of weight data of the edible poultry for a certain time through one or more weight measuring devices installed in the poultry company where the edible poultry is kept; Pre-processing the collected weight data; Accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency; Edible poultry comprising estimating a smooth density function with the generated histogram, deriving an average weight through the estimated smooth density function, and predicting shipment of the edible poultry using the average weight derived above. It can provide a shipping management method using the average weight calculation and shipping management system.
이하, 도면을 참조한 본 발명의 설명은 특정한 실시 형태에 대해 한정되지 않으며, 다양한 변환을 가할 수 있고 여러 가지 실시예를 가질 수 있다. 또한, 이하에서 설명하는 내용은 본 발명의 사상 및 기술 범위에 포함되는 모든 변환, 균등물 내지 대체물을 포함하는 것으로 이해되어야 한다.Hereinafter, the description of the present invention with reference to the drawings is not limited to a specific embodiment, and various conversions may be applied and various embodiments may be provided. In addition, it should be understood that the contents described below include all transformations, equivalents, and substitutes included in the spirit and scope of the present invention.
이하의 설명에서 제1, 제2 등의 용어는 다양한 구성요소들을 설명하는데 사용되는 용어로서, 그 자체에 의미가 한정되지 아니하며, 하나의 구성요소를 다른 구성요소로부터 구별하는 목적으로만 사용된다.In the following description, terms such as first and second are terms used to describe various components, and are not limited in meaning to themselves, and are used only to distinguish one component from other components.
본 명세서 전체에 걸쳐 사용되는 동일한 참조번호는 동일한 구성요소를 나타낸다.The same reference numerals used throughout this specification denote the same components.
본 발명에서 사용되는 단수의 표현은 문맥상 명백하게 다르게 뜻하지 않는 한, 복수의 표현을 포함한다. 또한, 이하에서 기재되는 "포함하다", "구비하다" 또는 "가지다" 등의 용어는 명세서상에 기재된 특징, 숫자, 단계, 동작, 구성요소, 부품 또는 이들을 조합한 것이 존재함을 지정하려는 것으로 해석되어야 하며, 하나 또는 그 이상의 다른 특징들이나, 숫자, 단계, 동작, 구성요소, 부품 또는 이들을 조합한 것들의 존재 또는 부가 가능성을 미리 배제하지 않는 것으로 이해되어야 한다.The singular expression used in the present invention includes the plural expression unless the context clearly indicates otherwise. In addition, terms such as “include”, “have” or “have” described below are intended to indicate that there are features, numbers, steps, operations, components, parts, or combinations thereof described in the specification. It should be interpreted and understood to not preclude the existence or addition possibility of one or more other features, numbers, steps, actions, components, parts or combinations thereof.
이하, 본 발명의 실시 예를 첨부한 도 1 내지 도 11을 참조하여 상세히 설명하기로 한다.Hereinafter, embodiments of the present invention will be described in detail with reference to FIGS. 1 to 11.
본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템은 중량 측정 장치(1), 중량 및 출하예측 서버(2) 및 모니터링부(3)를 포함할 수 있다.The average weight calculation and shipment management system for edible poultry according to an embodiment of the present invention may include a weight measurement device 1, a weight and shipment prediction server 2, and a monitoring unit 3.
중량 측정 장치(1)는 가금사 내에 설치되며, 로드셀을 이용하여 식용 가금류의 중량을 실시간으로 측정한다.The weight measuring device 1 is installed in the poultry yarn and measures the weight of the edible poultry in real time using a load cell.
상기 중량 측정 장치(1)와 관련해서는 추후에 구체적으로 설명하도록 한다.The weight measuring device 1 will be described in detail later.
중량 및 출하예측 서버(2)는 본 발명의 중량 측정 장치(1)로부터 실시간 측정된 중량데이터를 전송받아 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측할 수 있다.The weight and shipment prediction server 2 can receive the weight data measured in real time from the weight measuring device 1 of the present invention to derive the average weight of edible poultry, and predict the shipment using the derived average weight.
즉, 상기 중량데이터를 다수 수집하고, 수집된 상기 다수의 중량데이터를 밀도화하여 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측할 수 있다.That is, it is possible to collect a large number of the weight data, to derive the average weight of the edible poultry by densifying the collected weight data, and to predict shipment using the derived average weight.
모니터링부(3)는 중량 및 출하예측 서버(2)로부터 도출된 평균중량과 예측된 출하시기를 제공 받을 수 있다.The monitoring unit 3 may be provided with the weight and the average weight derived from the shipment prediction server 2 and the predicted shipment.
또한, 가금류의 평균중량 측정 및 출하관리 시스템의 데이터 또는 그 데이터를 이용하여 진행되는 모든 과정을 출력하여 줌으로써 가금사를 관리하는 작업자 또는 그 외의 관련자들이 식별이 용이하도록 출력할 수 있다.In addition, by outputting the average weight of the poultry and the data of the shipping management system or all the processes in progress using the data, an operator who manages the poultry company or other related persons can output it for easy identification.
이때, 모니터링부(3)는 가금사 내에 구비되는 단말이거나, 다수의 가금사를 관리하는 사용자가 소유한 스마트폰, 태블릿 PC, 컴퓨터 등과 같은 단말일 수 있다.At this time, the monitoring unit 3 may be a terminal provided in the poultry company, or a terminal owned by a user who manages a plurality of poultry companies, such as a smartphone, a tablet PC, and a computer.
도 1 및 도 2를 참조하면, 본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템의 중량 측정 장치(1)는 가금사의 다수개의 동에 각각 하나 이상이 설치되고, 식용 가금류의 행동습성을 반영하여 형성되며, 로드셀을 이용하여 식용 가금류의 중량을 측정할 수 있다.Referring to Figures 1 and 2, the average weight of the edible poultry according to an embodiment of the present invention and the weight measuring device (1) of the shipping management system is installed in one or more of each of the poultry companies, edible poultry It is formed by reflecting behavioral habits, and the weight of edible poultry can be measured using a load cell.
즉, 중량 측정 장치(1)는 가금사 안에 다수개가 설치되는데, 설치 위치는 식용 가금류의 행동습성이 반영되어 형성됨으로써 식용 가금류가 스스로 올라가도록 하여, 실시간으로 식용 가금류의 중량을 측정할 수 있다.That is, a plurality of weight measuring devices 1 are installed in the poultry house, and the installation position is formed by reflecting the behavioral behavior of the edible poultry, so that the edible poultry can be raised by itself, so that the weight of the edible poultry can be measured in real time.
이를 위해, 셀 플레이트(10), 셀 이동파이프(11), 가이드 홀더(12), 셀 제어부(13) 및 셀 지지대(14)를 포함할 수 있다.To this end, a cell plate 10, a cell moving pipe 11, a guide holder 12, a cell control unit 13 and a cell support 14 may be included.
구체적으로, 셀 플레이트(10)는 식용 가금류를 수용하는 공간으로, 식용 가금류가 중량 측정 장치(1)의 셀 플레이트(10)에 올라오면 중량이 측정되도록 할 수 있다.Specifically, the cell plate 10 is a space for receiving edible poultry, and when edible poultry rises on the cell plate 10 of the weight measuring device 1, the weight can be measured.
또한, 셀 플레이트(10)는 원형의 판 형상으로 형성될 수 있으나, 이는 본 발명의 실시 예에 불과하므로, 이에 한정되지 않는다.In addition, the cell plate 10 may be formed in a circular plate shape, but this is only an embodiment of the present invention, and is not limited thereto.
셀 이동파이프(11)는 셀 플레이트(10)를 지지하고, 상하 이동될 수 있다. 이를 위해, 셀 이동파이프(11)는 하단이 셀 플레이트(10)와 연결되어 셀 플레이트(10)를 고정시키고, 셀 이동파이프(11)의 상단이 셀 제어부(13)와 상하 이동할 수 있도록 연결될 수 있다.The cell moving pipe 11 supports the cell plate 10 and can be moved up and down. To this end, the cell moving pipe 11 may be connected so that the lower end is connected to the cell plate 10 to fix the cell plate 10, and the upper end of the cell moving pipe 11 can be moved up and down with the cell control unit 13. have.
또한, 셀 플레이트(10)의 상단은 가이드 홀더(12)에 삽입되고 셀 제어부(13)에 연결될 수 있는데, 가이드 홀더(12)가 상하 이동의 가이드 역할을 한다.In addition, the top of the cell plate 10 may be inserted into the guide holder 12 and connected to the cell control unit 13, the guide holder 12 serves as a guide for vertical movement.
즉, 셀 플레이트(10)에 식용 가금류가 올라가면 셀 이동파이프(11)가 하측으로 내려가게 되는 것이다. 이때, 셀 이동파이프(11)가 하측으로 내려가는 크기는 식용 가금류의 중량에 따라 달라진다.That is, when the edible poultry rises to the cell plate 10, the cell moving pipe 11 is lowered. At this time, the size of the cell moving pipe 11 to the lower side depends on the weight of the edible poultry.
또한, 식용 가금류가 셀 플레이트(10)에 있다가 내려가면 셀 이동파이프(11)는 상측으로 올라가 제자리에 위치하게 된다.In addition, when the edible poultry is in the cell plate 10 and then goes down, the cell moving pipe 11 is moved upward and positioned in place.
가이드 홀더(12)는 셀 이동파이프(11)의 이동을 가이드하고, 셀 이동파이프(11)가 흔들리지 않도록 고정시켜줄 수 있다.The guide holder 12 guides the movement of the cell moving pipe 11 and can fix the cell moving pipe 11 so as not to be shaken.
또한, 가이드 홀더(12)는 중심에 홀이 형성되어, 셀 이동파이프(11)가 홀을 따라 상하 이동할 수 있다.In addition, the guide holder 12 is formed with a hole in the center, the cell moving pipe 11 can move up and down along the hole.
셀 제어부(13)는 하측에 가이드 홀더(12) 및 셀 이동파이프(11)가 연결되고, 로드셀이 구비되어 셀 이동파이프(11)의 하측 이동에 따라 중량을 측정할 수 있다.The cell control unit 13 has a guide holder 12 and a cell moving pipe 11 connected to the lower side, and a load cell is provided to measure the weight according to the lower movement of the cell moving pipe 11.
즉, 셀 이동파이프(11)가 식용 가금류의 중량에 따라 하측으로 이동되고, 그 하측으로 이동하는 만큼 로드셀이 늘어나 변형이 일어나고, 변형량을 변형측정장치가 전기신호로 검출하고 디지털신호로 바꿔 중량을 숫자로 도출할 수 있는 방법으로 식용 가금류의 중량을 측정할 수 있다.That is, the cell moving pipe 11 is moved to the lower side according to the weight of the edible poultry, the load cell increases as it moves to the lower side, deformation occurs, and the strain measurement device detects the amount of deformation as an electric signal and replaces it with a digital signal to change the weight. The weight of edible poultry can be measured in a way that can be derived numerically.
또한, 셀 제어부(13)는 상기와 같은 방법으로 식용 가금류의 중량을 측정하고 측정된 식용 가금류의 중량을 중량측정서버(2)로 전송할 수 있다. 이에 따라, 중량측정서버(2)는 중량 측정 장치(1)로부터 측정된 식용 가금류의 중량을 전송 받아 중량데이터를 수집할 수 있다.In addition, the cell control unit 13 may measure the weight of the edible poultry in the same manner as described above and transmit the measured weight of the edible poultry to the weighing server 2. Accordingly, the weight measurement server 2 may receive the weight of the edible poultry measured from the weight measurement device 1 and collect weight data.
이때, 중량데이터는 중량 측정 장치(1)로부터 전송 받은 식용 가금류의 중량값을 나타낸다.At this time, the weight data represents the weight value of the edible poultry received from the weight measuring device (1).
셀 지지대(14)는 셀 제어부(13)와 연결되어 가금사 내에 고정 설치될 수 있다. The cell support 14 may be connected to the cell control unit 13 and fixedly installed in the poultry yarn.
이때, 셀 지지대(14)는 셀 제어부(13)를 지지함으로써, 함께 연동되는 셀 플레이트(10), 셀 이동파이프(11), 가이드 홀더(12) 또한 함께 지지할 수 있다.At this time, the cell support 14 can support the cell plate 10, the cell moving pipe 11, and the guide holder 12 which are interlocked together by supporting the cell control unit 13.
또한, 중량 측정 장치(1)는 햅틱모터(15)를 더 포함할 수 있다.In addition, the weight measuring device 1 may further include a haptic motor 15.
햅틱모터(15)는 셀 플레이트(10) 하면에 설치될 수 있으나, 이는 본 발명의 실시 예에 불과하므로, 다양한 위치에 설치되어 셀 플레이트(10)에 진동을 줄 수 있다.The haptic motor 15 may be installed on the lower surface of the cell plate 10, but since it is only an embodiment of the present invention, it may be installed in various positions to vibrate the cell plate 10.
즉, 햅틱모터(15)는 셀 플레이트(10)에 진동을 줌으로써, 진동에 의해 특정 식용 가금류가 지속적으로 셀 플레이트(10)에 잔존하는 것을 방지하고, 다수의 식용 가금류가 셀 플레이트(10)에 고루 올라오도록 유도할 수 있다.That is, the haptic motor 15 vibrates the cell plate 10 to prevent certain edible poultry from remaining on the cell plate 10 due to vibration, and a plurality of edible poultry to the cell plate 10 You can induce it to climb evenly.
이러한 햅틱모터(15)는 셀 제어부(13)에 의해 제어되어 진동될 수 있다. 예를 들어, 가축의 중량이 측정된 후에 진동되는 것 등의 방식으로 설정되고 셀 제어부(13)에 의해 제어될 수 있다.The haptic motor 15 may be controlled and vibrated by the cell control unit 13. For example, it can be set in such a way as to vibrate after the weight of the livestock is measured and controlled by the cell control unit 13.
또한, 중량 측정 장치(1)는 가이드 홀더(12) 일측에 구비되는 환경센서를 더 포함하고, 상기 환경센서는 이산화탄소 측정센서, 암모니아 측정센서, 온습도 센서 중 하나이상을 포함할 수 있다.In addition, the weight measurement device 1 further includes an environmental sensor provided on one side of the guide holder 12, and the environmental sensor may include at least one of a carbon dioxide measurement sensor, an ammonia measurement sensor, and a temperature and humidity sensor.
즉, 상기 가금사 내의 환경과 중량을 측정하는 식용 가금류의 상태를 파악하기 위한 것으로써, 모니터링부(3)와 연동되어 식용 가금류의 상태에 따라 가금사 내에 설치되는 환기장치(환기창, 환기팬), 급이/급수장치, 조명과 관련된 제어정보를 모니터링 할 수 있고, 사용자가 수동적으로 제어도 가능하다. That is, to determine the environment and the status of the edible poultry measuring the weight in the poultry house, the ventilation device (ventilation window, ventilation fan) installed in the poultry house according to the state of the edible poultry in conjunction with the monitoring unit (3) , It can monitor control information related to water supply / water supply device and lighting, and can be controlled manually by the user.
또한, 중량 측정 장치(1)는 사료 공급부(17)를 더 포함할 수 있다.In addition, the weight measuring device 1 may further include a feed supply unit 17.
사료 공급부(17)는 셀 제어부(13)에 의해 제어되어 설정된 시간마다 자동으로 사료를 공급할 수 있다. 즉, 사료 공급부(17)를 통해 중량 측정 장치(1) 근처에 사료를 공급함으로써, 가축을 중량 측정 장치(1)측으로 유인하여 중량 측정 장치(1)에 올라가는 횟수가 증가하도록 하는 것이다.The feed supply unit 17 is controlled by the cell control unit 13 and can automatically feed the set time. That is, by feeding the feed near the weight measuring device 1 through the feed supply unit 17, the number of times the animals are drawn to the weight measuring device 1 is increased by attracting the livestock to the weight measuring device 1 side.
이를 위해, 사료 공급부(17)는 사료통(170), 마개판(173), 회전축(175) 및 모터(176)를 포함할 수 있다.To this end, the feed supply unit 17 may include a feed container 170, a stopper plate 173, a rotating shaft 175, and a motor 176.
*사료통(170)은 사료가 주입되고, 보관될 수 있다.* The feed container 170 may be fed with feed and stored.
이를 위해, 사료통(170)은 주입구(171) 및 배출구(172)를 포함할 수 있다.To this end, the feed container 170 may include an inlet 171 and an outlet 172.
주입구(171)는 사료통(170) 일측에 형성되어, 사료가 외부로부터 주입될 수 있다. 또한, 주입구(171)는 도어가 구비되어 개폐될 수 있다. Inlet 171 is formed on one side of the feed container 170, the feed can be injected from the outside. In addition, the injection hole 171 is provided with a door can be opened and closed.
배출구(172)는 사료통(170) 하면에 형성되어, 사료통(170) 내부의 사료가 배출될 수 있도록 한다. 이러한 배출구(172)는 마개판(173)에 의해 개폐될 수 있다.The outlet 172 is formed on the lower surface of the feed container 170, so that the feed inside the feed container 170 can be discharged. The outlet 172 may be opened and closed by a stopper plate 173.
마개판(173)은 사료통(170)의 배출구(172) 하측에 구비되어 배출구(172)를 개폐할 수 있다.The stopper plate 173 is provided below the outlet 172 of the feed container 170 to open and close the outlet 172.
이를 위해, 마개판(173)은 판 형상으로 형성되고, 일측에 상하면을 관통하는 공급홀(174)이 형성될 수 있다.To this end, the stopper plate 173 is formed in a plate shape, and a supply hole 174 penetrating the upper and lower surfaces may be formed on one side.
이에 따라, 상시에는 배출구(172)를 마개판이 막고, 사료를 공급할 경우 마개판(173)이 회전되어 배출구(172)와 공급홀(174)의 위치가 일치할 경우 사료가 공급될 수 있다.Accordingly, the stopper plate is blocked at all times, and when the feed is supplied, the stopper plate 173 is rotated so that the feed can be supplied when the positions of the outlet 172 and the supply hole 174 match.
마개판(173)의 상면에 회전축(175)이 연결되어 회전축(175)에 의해 마개판(173)이 회전할 수 있다.The rotation shaft 175 is connected to the upper surface of the stopper plate 173 so that the stopper plate 173 can be rotated by the rotation shaft 175.
이러한 회전축(175)의 회전 동력은 회전축(175)이 모터(176)에 연결되어 모터(176)로부터 전달받을 수 있다.The rotational power of the rotation shaft 175 may be transmitted from the motor 176 by the rotation shaft 175 being connected to the motor 176.
모터(176)는 사료통(170)의 상부 내측에 구비되거나, 외부에 구비되어 회전축(175)에 연결될 수 있다.The motor 176 may be provided inside the upper portion of the feed container 170 or may be provided outside to be connected to the rotating shaft 175.
또한, 모터(176)는 양방향 모터로 구비될 수 있다.Further, the motor 176 may be provided as a bidirectional motor.
*이러한 사료 공급부(17)는 상시에는 배출구(172)를 마개판(173)가 막고 있다가 설정된 시간간격 마다 셀 제어부(13)에 의해 모터(176)가 구동되어 마개판(173)이 회전하여 공급홀(174)이 배출구(172) 위치에 위치하여 사료를 일정량만 공급하고, 다시 회전하여 마개판(173)으로 배출구(172)를 막을 수 있다.* In the feeder 17, the outlet 172 is always blocked by the stopper plate 173, and the motor control unit 176 is driven by the cell control unit 13 at every set time interval, so that the stopper plate 173 rotates. The supply hole 174 is located at the position of the outlet 172 to supply only a certain amount of feed, and rotate again to block the outlet 172 with the stopper plate 173.
도 2에 도시된 바와 같이 사료 공급부(17)가 형성되어 시간마다 사료를 공급할 수 있으나, 이는 본 발명의 실시 예에 불과하고 예시적인 것으로, 다양한 구조를 가진 장치를 통해 사료를 시간마다 공급할 수 있다.As shown in FIG. 2, the feed supply unit 17 may be formed to supply feed every hour, but this is only an example of the present invention and is exemplary, and feed may be supplied hourly through devices having various structures. .
또한, 사료가 중량 측정 장치(1) 근처에 공급되어 유도역할을 할 수 있으나, 중량 측정 장치(1)의 셀 플레이트(10)에 공급되어 가축이 사료를 먹기 위해 중량 측정 장치(1)에 아예 올라오도록 할 수 있다.In addition, the feed is supplied near the weight measuring device 1 to serve as an induction, but it is supplied to the cell plate 10 of the weight measuring device 1 so that the livestock feeds the feed to the weight measuring device 1 at all. You can make it come up.
또한, 중량 측정 장치(1)는 다수 마리가 올라갈 경우 다수 마리의 중량을 측정할 수 있다.In addition, the weight measuring device 1 can measure the weight of a large number of dogs when the number of dogs goes up.
또한, 중량 측정 장치(1)가 한 개의 사육동에 두개 이상이 설치될 경우, 동시에 식용 가금류의 중량이 측정되면 동시에 측정된 중량을 합산하여 중량측정서버(2)로 전송할 수 있다.In addition, when two or more weight measuring devices 1 are installed in one breeding ward, when the weight of edible poultry is measured at the same time, the weights measured at the same time can be summed and transmitted to the weighing server 2.
상기에서 설명한 바와 같이, 중량 측정 장치(1)는 식용 가금류(닭, 거위, 오리, 꿩 등)이 올라갈 수 있는 공간을 보면 올라가는 행동습성을 반영하여 형성됨으로써, 실시간으로 식용 가금류의 중량을 측정할 수 있는 장점이 있다.As described above, the weight measuring device 1 is formed by reflecting the rising behavioral behavior when looking at a space where edible poultry (chicken, goose, duck, pheasant, etc.) can go up, thereby measuring the weight of edible poultry in real time. There is an advantage.
이에 따라, 노동력, 시간이 절약되고, 식용 가금류에게 스트레스를 주지 않을 수 있다.Accordingly, labor and time are saved, and stress may not be applied to edible poultry.
다음으로, 도 3 및 도 4를 참조하면 중량 및 출하예측 서버(2)는 앞서 설명한 바와 같이 중량 측정 장치(1)로 측정된 중량데이터를 다수 수집하고, 수집된 상기 다수의 중량데이터를 밀도화하여 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측할 수 있다.Next, referring to FIGS. 3 and 4, the weight and shipping prediction server 2 collects a plurality of weight data measured by the weight measuring device 1 as described above, and densifies the collected weight data. By deriving the average weight of the edible poultry, it can be predicted to ship using the derived average weight.
이를 위해, 중량 및 출하예측 서버(2)는 데이터 저장부(21) 및 데이터 처리부(22)를 포함할 수 있다.To this end, the weight and shipment prediction server 2 may include a data storage unit 21 and a data processing unit 22.
데이터 저장부(21)는 상기 중량 측정 장치(1)로부터 전송받은 식용 가금류의 중량데이터를 수집하고 저장할 수 있다.The data storage unit 21 may collect and store the weight data of the edible poultry received from the weight measuring device 1.
이와 같이, 중량 측정 장치(1)로 실시간으로 식용 가금류의 중량을 측정하고, 측정된 식용 가금류의 중량데이터를 최대한 많이 수집하는 것이다. 또한, 데이터 저장부(21)는 데이터 처리부(22)에서 처리될 중량데이터를 실시간으로 저장할 수 있다.In this way, the weight of the edible poultry is measured in real time by the weight measuring device 1, and the weight data of the measured edible poultry is collected as much as possible. In addition, the data storage unit 21 may store the weight data to be processed in the data processing unit 22 in real time.
데이터 처리부(22)는 데이터 저장부(21)에 저장된 중량데이터를 밀도화하여 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측할 수 있다.The data processing unit 22 may densify the weight data stored in the data storage unit 21 to derive an average weight and predict shipment using the derived average weight.
여기서, 밀도화란 데이터 밀도 추정론을 기반으로 하는 것이며, 히스토그램을 활용하여 평균중량을 도출할 수 있다.Here, the densification is based on the data density estimation theory, and an average weight can be derived using a histogram.
즉, 데이터 저장부(21)에서 실시간으로 일정 시간 동안 다수 수집된 중량데이터는 데이터 처리부(22)에서 밀도화되고, 이때, 밀도화 되어 형성된 복수의 중량데이터 군으로부터 평균중량을 도출하고, 이 평균중량을 기반으로 출하시기를 예측할 수 있다.In other words, the weight data collected in a number of times in real time in the data storage unit 21 is densityd in the data processing unit 22, and at this time, the average weight is derived from a plurality of weight data groups formed by density, and this average You can predict shipment based on weight.
밀도화를 이용하여 식용 가금류의 평균중량을 도출하는 방법에 대한 상세한 설명은 후술하도록 한다.A detailed description of the method for deriving the average weight of edible poultry using densification will be described later.
한편, 중량 및 출하예측 서버(2)는 데이터 저장부(21) 및 데이터 처리부(22) 외에도 데이터 제공부(23)를 더 포함할 수 있다.Meanwhile, the weight and shipment prediction server 2 may further include a data providing unit 23 in addition to the data storage unit 21 and the data processing unit 22.
여기서, 데이터 제공부(23)는 상기 중량 및 출하예측 서버(2)로부터 중량데이터, 추정된 식용 가금류의 평균중량과 예측된 출하시기를 사용자에게 제공할 수 있다.Here, the data providing unit 23 may provide the user with the weight and the weight data from the shipment prediction server 2, the average weight of the estimated edible poultry, and the estimated shipment.
이때, 데이터 제공부(23)는 모니터링부(3)와 연동되며, 예측된 출하시기를 기반으로 다수의 가금사를 맵핑하여 사용자에게 제공할 수 있어 시각적으로 한눈에 가금사들의 출하가능 여부를 확인할 수 있다.At this time, the data providing unit 23 is interlocked with the monitoring unit 3, and it is possible to map a plurality of poultry companies based on the predicted shipment and provide them to the user, thereby visually checking whether poultry companies can be shipped at a glance. Can be.
예를 들면, 평균중량이 기준 중량데이터와 비교 시, 출하시기에 적합한 중량이면 초록색으로 표시되고, 평균중량이 출하 3일전의 기준 중량데이터와 부합하면 파란색으로 표시되며, 출하시기가 한참 지났는데도 평균중량이 기준 중량데이터에 미치지 못하면 붉은색으로 표시되도록 맵핑되어 제공될 수 있다. 이를 이용해 사용자가 적합하게 조취를 취할 수 있도록 한다.For example, when the average weight is compared with the reference weight data, it is displayed in green if the weight is suitable for shipping, and if the average weight matches the reference weight data three days before shipment, it is displayed in blue. If the weight does not reach the reference weight data, it may be provided by being mapped to be displayed in red. This allows the user to take appropriate action.
아울러, 본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템은 중량 및 출하예측 서버(2)로부터 중량데이터 및 도출된 식용 가금류의 평균중량, 평균중량에 의해 예측된 출하시기 등 출하를 위한 데이터들을 전송 받아 작업자 외의 식용 가금류와 관련된 사람 즉, 식용 가금류가 출하될 시에 양도받는 사람 등에게 제공할 수 있는 데이터 제공부(23)를 더 포함하여 출하까지의 전 과정을 제공함으로써 신뢰도를 향상시킬 수도 있다.In addition, the average weight calculation and shipment management system of edible poultry according to an embodiment of the present invention is weight and weight data from the shipment prediction server 2 and the average weight of the derived edible poultry, shipment predicted by the average weight, etc. Reliability by providing the entire process up to shipment, including a data providing unit (23) that can receive data for transmission and provide it to persons related to edible poultry other than workers, that is, persons who are transferred when edible poultry is shipped. You can also improve
이하, 도 5 내지 도 11을 참조하여 본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법을 구체적으로 설명하기로 한다.Hereinafter, with reference to Figures 5 to 11 will be described in detail the shipping management method using the average weight calculation and shipping management system of edible poultry according to an embodiment of the present invention.
먼저, 도 5를 참조하면, 본 발명의 실시 예에 따른 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법은 식용 가금류가 사육되는 가금사 내에 설치된 하나 이상의 중량 측정 장치(1)를 통해 일정시간 상기 식용 가금류의 중량데이터를 다수 수집하는 단계(S100), 수집된 중량데이터를 전처리하는 단계(S200), 전처리된 다수의 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하는 단계(S300), 생성된 히스토그램으로 스무스 밀도 함수를 추정하고, 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계(S400) 도출된 평균중량을 이용하여 식용 가금류의 출하시기를 예측하는 단계(S500)를 포함할 수 있다.First, referring to Figure 5, the average weight of the edible poultry according to an embodiment of the present invention and the shipping management method using the shipping management system is through one or more weight measuring device (1) installed in the poultry company where edible poultry is bred Collecting a plurality of weight data of the edible poultry for a predetermined time (S100), pre-processing the collected weight data (S200), accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency (S300) ), Estimating the smooth density function with the generated histogram, and deriving the average weight through the estimated smooth density function (S400) Predicting the shipment of edible poultry using the derived average weight (S500) can do.
구체적으로, 본 발명은 S100단계를 수행하기 위해서는 중량 측정 장치(1)를 통하여 일정시간 다수의 중량데이터를 수집하도록 형성될 수 있다. 이는, 중량 측정 장치(1)가 개방되어 식용 가금류의 출입이 자유롭고 햅틱(Haptic)기능을 구현하고 있어, 여러 식용 가금류들이 표본 개체가 되도록 순환시킬 수 있어 많은 데이터를 수집할 수 있다. 이때, 측정시간은 제한을 두지 않을 수 있으며, 실시간으로 측정될 수 있다.Specifically, the present invention may be formed to collect a plurality of weight data for a predetermined time through the weight measuring device 1 in order to perform step S100. This means that the weight measuring device 1 is opened, so that food edible poultry is free to enter and implements a haptic function, so that various food edible poultry can be circulated to be a sample object, thereby collecting a lot of data. At this time, the measurement time may not be limited, and may be measured in real time.
S200단계는 상기 S100단계로부터 수집된 중량데이터를 전처리하는 단계로써, 환경설정 값을 설정하는 단계(S210), 상기 설정된 환경설정 값을 이용하여 중량데이터를 전처리하는 단계 (S220)로 이루어질 수 있다.The step S200 is a step of pre-processing the weight data collected from the step S100, and may include setting an environment setting value (S210) and pre-processing weight data using the set environment setting value (S220).
S210단계는 환경설정 값인 임계값을 입력하는 단계로, 다수의 실험을 거쳐 도출된 임계값인 기준 중량에 한참 미치지 못하는 중량데이터나 한참을 초과한 중량데이터를 제외하기 위해 임계값을 기 설정하는 단계이다.Step S210 is a step of inputting a threshold value, which is an environment setting value, and presetting a threshold value to exclude weight data that does not reach the reference weight, which is a threshold value derived through a number of experiments, or weight data exceeding a long time. to be.
이때, 상기 임계값은 식용 가금류의 측정 중량데이터를 기준으로 실험한 결과로 얻은 것이며, 0.8배 미만, 1.3배 초과 값을 제외하도록 설정될 수 있다.In this case, the threshold value is obtained as a result of experiments based on the measured weight data of edible poultry, and may be set to exclude values less than 0.8 times and more than 1.3 times.
S220단계는 상기S210단계에서 기 설정된 임계값을 기준으로 기준 중량과 측정된 중량데이터를 비교하여 전처리하는 것으로, 각 일령의 기준 중량에 대해 임계값인 0.8배미만, 1.3배 초과되는 측정 중량데이터는 히스토그램 생성을 위한 입력 중량데이터에서 제외하는 단계이다.In step S220, the reference weight and the measured weight data are compared and preprocessed based on the threshold set in step S210, and the measured weight data that is less than 0.8 times and exceeds 1.3 times the threshold value for each reference weight of each age is This is a step to exclude from the input weight data for generating the histogram.
S300단계는 전처리된 다수의 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하는 단계로써, 도 6의 (a)에 도시된 생성된 히스토그램 그래프의 y축은 중량 측정 장치(1)의 측정 횟수(빈도수)이며, x축은 중량 측정 장치(1)에 감지되는 중량이다.Step S300 is a step of accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency, and the y-axis of the generated histogram graph shown in FIG. 6A is the number of times the weight measuring device 1 measures ( Frequency), and the x-axis is the weight sensed by the weight measuring device 1.
예를 들면, 도시된 바와 같이 가금사 내에 설치된 본 발명의 중량 측정 장치(1)로부터 전송된 중량데이터에 의해 380 ~ 400g 대의 중량에 대한 중량데이터 개수가 누적된 히스토그램을 생성되었고, 여기서 380 ~ 400g 대의 중량에 대한 중량데이터는 중량 측정 장치(1)에 수용되어 중량을 측정한 다수의 식용 가금류의 전처리된 중량범위 이다.For example, as shown, a histogram of the number of weight data accumulated for weights of 380 to 400 g was generated by weight data transmitted from the weight measuring device 1 of the present invention installed in a poultry yarn, where 380 to 400 g The weight data for the weight of the table is a pre-treated weight range of a large number of edible poultry that is accommodated in the weight measuring device 1 and measures the weight.
이하, 수학식 1을 이용해 상기 히스토그램으로 생성할 수 있다.Hereinafter, Equation 1 may be used to generate the histogram.
Figure PCTKR2018014044-appb-M000001
Figure PCTKR2018014044-appb-M000001
여기서, x는 중량, n은 수집된 중량 데이터의 수, h는 폭 값, Count(x)는 x의 빈도 수이며, h는 1로 정의한다.Here, x is weight, n is the number of collected weight data, h is the width value, Count (x) is the frequency number of x, and h is defined as 1.
도 5와 도 6을 참조하면, S400단계는 생성된 히스토그램으로 스무스 밀도 함수를 추정하고, 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계로써, 생성된 히스토그램으로 스무스 밀도 함수를 추정하는 단계(S410)와 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계(S420)로 이루어질 수 있다.5 and 6, step S400 is a step of estimating a smooth density function with the generated histogram and deriving an average weight through the estimated smooth density function, estimating the smooth density function with the generated histogram ( S410) and deriving the average weight through the estimated smooth density function (S420).
S410단계는 생성된 히스토그램으로 스무스 밀도 함수를 추정하는 단계로써, 불연속적이면서 각진 사각형 형상인 히스토그램을 선형화 시켜 측정된 중량데이터가 파악되기 쉽도록 하는 단계이다.Step S410 is a step of estimating a smooth density function with the generated histogram, which is a step of linearizing the histogram having a discontinuous and angular square shape so that the measured weight data is easy to grasp.
즉, 이하, 가우시안 필터를 이용한 커널 밀도 추정과 관련된 식인 수학식 2 내지 4를 통해 스무스 밀도 함수를 추정할 수 있고, 이 결과 그래프는 도 6의 (b)와 같이 나타낼 수 있다.That is, hereinafter, the smooth density function may be estimated through Equations 2 to 4, which are equations related to kernel density estimation using a Gaussian filter, and the result graph may be represented as shown in FIG. 6B.
Figure PCTKR2018014044-appb-M000002
Figure PCTKR2018014044-appb-M000002
Figure PCTKR2018014044-appb-M000003
Figure PCTKR2018014044-appb-M000003
Figure PCTKR2018014044-appb-M000004
Figure PCTKR2018014044-appb-M000004
상기 수학식 3은 가우시안 밀도 함수이며, 여기서, x는 중량, hD는 진폭=1, PKDE(x)는 x에 해당하는 가우스 필터(커널)을 이용한 스무스 밀도 함수 추정 결과, K는 가우시안 커널 함수, N은 가우스 필터 사이즈로 49로 정의한다. Equation 3 is a Gaussian density function, where x is weight, h D is amplitude = 1, P KDE (x) is a smooth density function estimation result using a Gaussian filter (kernel) corresponding to x, K is a Gaussian kernel The function, N, is defined as a Gaussian filter size of 49.
상기 N을 49로 정의한 이유는 커널 사이즈가 49g으로서 기준x-24 ~ x+24의 가우스 평균을 구하여 x의 PKDE(x)로 계산되기 때문이다.The reason why N is defined as 49 is that the kernel size is 49 g, and the Gaussian mean of the reference x-24 to x + 24 is calculated to calculate the P KDE (x) of x.
이때, 스무스 커널 추정의 경우 관측점(x축 중량)에 놓인 부드러운 범프(bump)들의 합으로 간주 될 수 있고, 추정된 스무스 밀도 함수는 솟은 모양을 결정지으며, hD는 진폭이라 불리며 폭을 결정 한다.At this time, in the case of the smooth kernel estimation, it can be regarded as the sum of soft bumps placed at the observation point (x-axis weight), and the estimated smooth density function determines the shape of the rise, h D is called amplitude and determines the width .
상기의 진폭은 전반적인 그래프 형태를 결정하는 것으로 스무스 밀도 함수 추정에 중요하게 작용할 수 있다.The above amplitude determines the overall graph shape and can be important for smooth density function estimation.
S420단계는 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계로써, 스무스 밀도 함수 추정 그래프(도 6의 (b))에서 가장 높은 빈도 수(밀도)를 가진 다수의 중량 중 빈도수가 높은 중량을 군집이라 할 때, 군집 중(솟은 부분들) 빈도 수가 가장 높은 식용 가금류의 군집(가장 높이 솟은 부분)을 가려내고, 가려낸 군집의 최댓값(도 6의 (c))이 가금사 내에 사육되고 있는 식용 가금류들의 평균중량이다.Step S420 is a step of deriving an average weight through the estimated smooth density function, and among the multiple weights having the highest frequency (density) in the smooth density function estimation graph (FIG. In the case of a cluster, a cluster of edible poultry (the highest towering portion) with the highest frequency among the clusters (topped portions) is screened, and the maximum value of the screened cluster (FIG. 6 (c)) is kept in a poultry house. The average weight of edible poultry.
상기 평균중량은 일령별로 상기 S100 내지 S400단계를 거쳐 매일 도출될 수 있으며, 데이터 저장부(21)로 저장되어 기록될 수 있다.The average weight may be derived daily through the steps S100 to S400 for each age, and may be stored and recorded in the data storage unit 21.
상기의 S400단계는 앞서 설명한 데이터 처리부(22)의 역할과 동일할 수 있다.The step S400 may be the same as the role of the data processing unit 22 described above.
S500단계는 도출된 평균중량을 이용하여 식용 가금류의 출하시기를 예측하는 단계로써, 일령별로 도출된 평균중량을 데이터 저장부(21)에 기 저장된 일령별 기준 중량데이터와 비교하여 출하시기를 예측하는 것이다. Step S500 is a step of predicting the shipment of edible poultry using the derived average weight, and comparing the average weight derived by age with the reference weight data for each age previously stored in the data storage unit 21 to predict the shipment. will be.
구체적으로, 기 저장된 일령별 기준 중량데이터를 미분하여 저장하는 단계(S510), 상기 미분된 일령별 기준 중량데이터와 일령별 도출된 평균중량을 비교하여 출하시기를 예측하는 단계(S520), 예측된 출하시기를 저장 및 맵핑하여 제공하는 단계(S530)로 이루어질 수 있다.Specifically, the step of storing the pre-stored reference weight data by age (S510), the step of predicting the shipment by comparing the average weight derived by age with the reference weight data by age (S520), predicted It may be made of the step of storing and mapping the shipment (S530).
S510단계는 도 10의 (a)와 같은 기 저장된 일령별 기준 중량데이터를 미분하여 저장하는 단계로, 도 10의 (b)에 도시된 그래프와 같이 도시될 수 있다.Step S510 is a step of differentially storing pre-stored reference weight data for each age group as shown in FIG. 10 (a), and may be illustrated as a graph shown in FIG. 10 (b).
이때, 도 10의 (b)의 x축은 일령을 나타내며, y축은 미분값(중량=g)을 나타낸다.At this time, the x-axis of FIG. 10 (b) represents the age, and the y-axis represents the differential value (weight = g).
y축에 대해 구체적으로 설명하면, 각각의 일령이 지남에 따라 늘어나는 기준 중량을 나타내는 것으로 15일령에 대한 값은 14일령 대비 최대 49g 더 증량하여야 된다는 것을 의미한다.In detail, the y-axis represents a reference weight that increases as each age passes, meaning that the value for 15-day-olds should be increased by up to 49g more than 14-day-olds.
S520단계는 상기 미분된 일령별 기준 중량데이터와 일령별 도출된 평균중량을 비교하여 출하시기를 예측하는 단계이다. Step S520 is a step of predicting shipment by comparing the standard weight data for each age-old and the average weight derived for each age.
예를 들어, 가금사에 사육되고 있는 식용 가금류가 14일령 때, 평균중량이 419g이라고 할 때, 미분된 기준 중량데이터를 통해 15일령일때는 49g증량된 468g이되어야 한다는 것을 예측할 수 있으며, 이와 같이 일령별로 향후 일정 기간의 일령별 가금사 내의 식용 가금류의 중량을 예측할 수 있어 출하에 적합한 중량을 언제 가질 수 있는 지를 알 수 있는 것이다.For example, when the edible poultry reared in the poultry company is 14 days old, when the average weight is 419g, through the differential reference weight data, it can be predicted that it should be 49g increased 468g when 15 days old. It is possible to predict the weight of edible poultry in a poultry company by age for a certain period of time in each future, so that it is possible to know when it is possible to have a weight suitable for shipment.
이때, 예상 평균중량은 15일령 이후부터 비교하는 것이 바람직하며, 현재 일령을 기준으로 출하 전 향후 3일의 예상 평균중량을 도출하여 출하시기를 예측하는 것이 바람직할 수 있다.At this time, it is desirable to compare the expected average weight from the age of 15 days onwards, and it may be desirable to predict the shipment by deriving the expected average weight of the next 3 days before shipment based on the current age.
또한, 일령별로 측정되는 평균중량이 기준 중량데이터와 비교하여 도출된 예상 평균중량과 비교하여 오차가 넓게 나오면 가금사 내 환경을 최적의 상태로 조절할 수도 있다.In addition, when the average weight measured by age is compared with the expected average weight derived by comparing with the reference weight data, if the error is wide, the environment in the poultry house may be adjusted to an optimal state.
S530단계는 도 11과 같이 예측된 출하시기를 저장 및 맵핑하여 제공하는 단계로써, 예측된 출하시기를 기반으로 다수의 가금사를 맵핑하여 사용자에게 제공할 수 있고, 또한, 이를 저장할 수 있다.Step S530 is a step of storing and mapping the predicted shipment as shown in FIG. 11, and mapping a plurality of poultry companies based on the predicted shipment to provide it to the user and may also store it.
앞서 설명한 데이터 제공부(23)의 역할과 동일하므로 구체적인 설명은 생략하도록 한다.Since it is the same as the role of the data providing unit 23 described above, a detailed description will be omitted.
상기에서 설명한 본 발명의 실시 예에 따른 식용 가금류의 평균중량 측정 시스템과 측정에 따른 출하관리는 식용 가금류의 중량을 실시간으로 측정 가능하다.The average weight measuring system for edible poultry according to the embodiment of the present invention described above and shipping management according to measurement can measure the weight of edible poultry in real time.
또한, 식용 가금류의 상태를 모니터링 하여 출하시기를 관리할 수 있다.In addition, it is possible to manage the shipment by monitoring the condition of edible poultry.
또한, 가금사 환경을 제어 및 모니터링하여 식용 가금류에게 좋은 사육 환경을 제공할 수 있다. In addition, it is possible to provide a good breeding environment for edible poultry by controlling and monitoring the poultry environment.
또한, 모든 가금류에 적용할 수 있는 장점이 있어 사육시스템에 폭 넓게 이용될 수 있는 장점이 있다.In addition, there is an advantage that can be applied to all poultry, it can be widely used in breeding systems.
또한, 가금류의 생체정보와 환경정보 빅데이터화를 통하여 가금류 생장 매뉴얼을 작성할 수 있다.In addition, a poultry growth manual can be prepared through bio-information of poultry and big data of environmental information.
또한, 품질이 좋은 식용 가금류를 출하할 수 있어 상품성이 높은 상품을 소비자에게 제공할 수 있다.In addition, high-quality edible poultry can be shipped, thereby providing a high-productivity product to the consumer.
또한, 손실 비용, 노동력 및 사료비를 절감시킬 수 있다.In addition, the cost of loss, labor and feed costs can be reduced.
이상으로 첨부된 도면을 참조하여 본 발명의 실시예를 설명하였으나, 본 발명이 속하는 기술분야에서 통상의 지식을 가진 자는 본 발명의 기술적 사상이나 필수적인 특징을 변경하지 않고 다른 구체적인 형태로 실시할 수 있다는 것을 이해할 수 있을 것이다. 따라서 이상에서 기술한 실시예는 모든 면에서 예시적인 것이며 한정적이 아닌 것이다.The embodiments of the present invention have been described with reference to the accompanying drawings, but a person skilled in the art to which the present invention pertains may implement in other specific forms without changing the technical spirit or essential features of the present invention. You will understand. Therefore, the above-described embodiment is illustrative in all respects and is not limiting.

Claims (14)

  1. 가금사 내에 설치되며, 로드셀을 이용하여 식용 가금류의 중량을 실시간으로 측정하는 중량 측정 장치;A weight measuring device installed in the poultry house and measuring the weight of the edible poultry in real time using a load cell;
    상기 중량 측정 장치로부터 실시간 측정된 중량데이터를 전송받아 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 중량 및 출하예측 서버 및A weight and shipment prediction server that receives real-time measured weight data from the weight measuring device to derive the average weight of edible poultry, and predicts shipment using the derived average weight, and
    상기 중량 및 출하예측 서버로부터 도출된 평균중량과 예측된 출하시기를 제공 받는 모니터링부를 포함하되,It includes a monitoring unit that receives the weight and the average weight derived from the shipment prediction server and the predicted shipment,
    상기 중량 및 출하예측 서버는,The weight and shipping prediction server,
    상기 중량데이터를 다수 수집하고, 수집된 상기 다수의 중량데이터를 밀도화하여 식용 가금류의 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.Calculating the average weight of the edible poultry by collecting a plurality of the weight data, densifying the collected weight data to derive the average weight of the edible poultry, and predicting shipment using the derived average weight, and Shipment management system.
  2. 제 1 항에 있어서,According to claim 1,
    상기 중량 측정 장치는,The weight measuring device,
    상기 식용 가금류를 수용하는 셀 플레이트;A cell plate accommodating the edible poultry;
    상기 셀 플레이트를 지지하고 상하 이동되는 셀 이동파이프;A cell moving pipe supporting the cell plate and moving up and down;
    상기 셀 이동파이프의 이동을 가이드하는 가이드 홀더;A guide holder for guiding the movement of the cell moving pipe;
    상기 가이드 홀더 및 셀 이동파이프가 연결되고, 상기 로드셀이 구비되어 상기 셀 이동파이프의 하측이동에 따라 중량을 측정하는 셀 제어부;A cell control unit connected to the guide holder and the cell moving pipe, and provided with the load cell to measure weight according to the downward movement of the cell moving pipe;
    상기 셀 제어부와 연결되어 상기 셀 플레이트, 셀 이동파이프, 가이드 홀더 및 셀 제어부를 지지하며, 상기 가금사 내에 고정되는 셀 지지대를 포함하는 식용 가금류의 평균중량 산출 및 출하관리 시스템. An average weight calculation and shipment management system for edible poultry, which is connected to the cell control unit, supports the cell plate, cell moving pipe, guide holder, and cell control unit, and includes a cell support fixed in the poultry yarn.
  3. 제 2 항에 있어서,According to claim 2,
    상기 중량 측정 장치는,The weight measuring device,
    상기 셀 플레이트 하면에 햅틱모터를 더 포함하고,Further comprising a haptic motor on the lower surface of the cell plate,
    상기 햅틱모터의 진동에 의해 상기 셀 플레이트에 수용된 식용 가금류가 지속적으로 잔존하는 것을 방지하여 다수의 식용 가금류가 상기 셀 플레이트에 고루 올라오도록 유도하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.An average weight calculation and shipment management system for edible poultry, characterized by inducing a plurality of edible poultry to rise evenly on the cell plate by preventing the edible poultry accommodated in the cell plate from being continuously left by the vibration of the haptic motor .
  4. 제 2 항에 있어서,According to claim 2,
    상기 중량 측정장치는,The weight measuring device,
    상기 가이드 홀더 일측에 구비되는 환경센서를 더 포함하고,Further comprising an environmental sensor provided on one side of the guide holder,
    상기 환경센서는 온습도, 이산화탄소, 암모니아 센서 중 하나 이상을 포함하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.The environmental sensor is a temperature and humidity, carbon dioxide, average weight calculation and shipping management system of edible poultry containing at least one of ammonia sensor.
  5. 제 1 항에 있어서,According to claim 1,
    상기 중량 및 출하예측 서버는,The weight and shipping prediction server,
    상기 중량 측정 장치로부터 전송받은 상기 중량데이터를 수집하고 저장하는 데이터 저장부;A data storage unit for collecting and storing the weight data received from the weight measurement device;
    상기 데이터 저장부에 저장된 중량데이터를 상기 밀도화하여 평균중량을 도출하고, 도출된 평균중량을 이용해 출하시기를 예측하는 데이터 처리부를 포함하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.A system for calculating and shipping average weight of edible poultry, including a data processing unit for deriving an average weight by densifying the weight data stored in the data storage unit and predicting shipment using the derived average weight.
  6. 제 5 항에 있어서,The method of claim 5,
    상기 데이터 처리부는,The data processing unit,
    수신된 중량데이터를 전처리하며, 전처리된 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하고,Pre-process the received weight data, accumulate the pre-processed weight data and generate a histogram according to the weight and frequency,
    이하, 수학식 1을 이용해 상기 히스토그램을 생성할 수 있는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.Hereinafter, an average weight calculation and shipment management system for edible poultry, characterized in that the histogram can be generated using Equation (1).
    [수학식 1][Equation 1]
    Figure PCTKR2018014044-appb-I000005
    Figure PCTKR2018014044-appb-I000005
    (여기서, x는 중량, n은 수집된 중량 데이터의 수, h는 폭 값, Count(x)는 x의 빈도 수이다)(Where x is the weight, n is the number of weight data collected, h is the width value, Count (x) is the frequency number of x)
  7. 제 6 항에 있어서,The method of claim 6,
    상기 데이터 처리부는,The data processing unit,
    생성된 히스토그램에 가우시안 필터를 이용한 커널 밀도 추정을 적용하여 스무스 밀도 함수를 추정하고, 추정된 스무스 밀도 함수를 통해 평균중량을 도출하고, Apply the kernel density estimation using a Gaussian filter to the generated histogram to estimate the smooth density function, derive the average weight through the estimated smooth density function,
    이하, 수학식 4를 이용해 스무스 밀도 함수를 추정하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.Hereinafter, the average weight calculation and shipping management system for edible poultry, characterized in that the smooth density function is estimated using Equation (4).
    [수학식 4][Equation 4]
    Figure PCTKR2018014044-appb-I000006
    Figure PCTKR2018014044-appb-I000006
    (여기서, x는 중량, h는 진폭=1, PKDE(x)는 x에 해당하는 가우스 필터(커널)을 이용한 스무스 밀도 함수 추정 결과, K는 가우시안 커널 함수, N은 가우스 필터 사이즈로 49로 정의한다)(Where x is weight, h is amplitude = 1, P KDE (x) is a smooth density function estimation using a Gaussian filter (kernel) corresponding to x, K is a Gaussian kernel function, and N is a Gaussian filter size of 49 define)
  8. 제 7 항에 있어서,The method of claim 7,
    상기 데이터 처리부는,The data processing unit,
    기 입력된 일령별 기준 중량데이터를 미분한 미분값을 기반으로 향후 일정 기간의 예상 평균중량을 도출하여 출하시기를 예측하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.A system for calculating and shipping average weight of edible poultry, characterized by predicting shipment by deriving the expected average weight for a certain period of time based on the differential value that differentiates the standard weight data for each age group.
  9. 제 1 항에 있어서,According to claim 1,
    상기 중량 및 출하예측 서버로부터 중량데이터, 추정된 식용 가금류의 평균중량과 예측된 출하시기를 사용자에게 제공하는 데이터 제공부를 더 포함하고, Further comprising a data providing unit for providing the user with weight data, estimated average weight of the estimated edible poultry and estimated shipment from the weight and shipment prediction server,
    상기 데이터 제공부는,The data providing unit,
    예측된 출하시기를 기반으로 다수의 가금사를 맵핑하여 사용자에게 제공하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템.A system for calculating and shipping average weight of edible poultry, characterized in that a plurality of poultry companies are mapped and provided to a user based on the predicted shipment.
  10. 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법에 있어서,In the method of calculating the average weight of edible poultry and using the shipping management system,
    식용 가금류가 사육되는 가금사 내에 설치된 하나 이상의 중량 측정 장치를 통해 일정시간 상기 식용 가금류의 중량데이터를 다수 수집하는 단계;Collecting a plurality of weight data of the edible poultry for a predetermined time through at least one weight measuring device installed in the poultry company where the edible poultry is kept;
    상기 수집된 중량데이터를 전처리하는 단계;Pre-processing the collected weight data;
    전처리된 다수의 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하는 단계;Accumulating a plurality of pre-processed weight data to generate a histogram according to weight and frequency;
    상기 생성된 히스토그램으로 스무스 밀도 함수를 추정하고, 추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계 및Estimating a smooth density function with the generated histogram, and deriving an average weight through the estimated smooth density function, and
    상기에서 도출된 평균중량을 이용하여 상기 식용 가금류의 출하시기를 예측하는 단계를 포함하는 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법.Shipping management method using the average weight of the edible poultry and shipping management system comprising the step of predicting the shipment of the edible poultry using the average weight derived from the above.
  11. 제 10항에 있어서,The method of claim 10,
    상기 수집된 중량데이터를 전처리하는 단계는,Pre-processing the collected weight data,
    환경설정 값을 설정하는 단계; Setting an environment setting value;
    상기 설정된 환경설정 값을 이용하여 중량데이터를 전처리하는 단계를 포함하는 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법.Method for calculating the average weight of edible poultry and shipping management method using the shipping management system, comprising pre-processing the weight data using the set environment setting value.
  12. 제 11항에 있어서,The method of claim 11,
    상기 히스토그램으로 생성하는 단계는,Generating the histogram,
    전처리된 중량데이터를 누적하여 중량 및 빈도수에 따른 히스토그램으로 생성하며,Accumulate pre-processed weight data to generate a histogram according to weight and frequency,
    이하, 상기 히스토그램은 수학식 1을 이용해 생성할 수 있는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법.Hereinafter, the histogram can be generated using Equation 1, wherein the average weight of edible poultry is calculated and the shipment management method using the shipment management system.
    [수학식 1][Equation 1]
    Figure PCTKR2018014044-appb-I000007
    Figure PCTKR2018014044-appb-I000007
    (여기서, x는 중량, n은 수집된 중량 데이터의 수, h는 폭 값, Count(x)는 x의 빈도 수이다)  (Where x is the weight, n is the number of weight data collected, h is the width value, Count (x) is the frequency number of x)
  13. 제 12항에 있어서,The method of claim 12,
    상기 평균중량을 도출하는 단계는,The step of deriving the average weight,
    생성된 히스토그램에 가우시안 필터를 이용한 커널 밀도 추정을 적용하여 스무스 밀도 함수를 추정하는 단계 및Estimating a smooth density function by applying kernel density estimation using a Gaussian filter to the generated histogram, and
    추정된 스무스 밀도 함수를 통해 평균중량을 도출하는 단계를 포함하며, Deriving an average weight through the estimated smooth density function,
    이하, 수학식 4를 이용해 스무스 밀도 함수를 추정하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법.Hereinafter, an average weight of edible poultry and shipping management method using a shipping management system, characterized by estimating a smooth density function using Equation (4).
    [수학식 4][Equation 4]
    Figure PCTKR2018014044-appb-I000008
    Figure PCTKR2018014044-appb-I000008
    (여기서, x는 중량, hD는 진폭=1, PKDE(x)는 x에 해당하는 가우스 필터(커널)을 이용한 스무스 밀도 함수 추정 결과, K는 가우시안 커널 함수, N은 가우스 필터 사이즈로 49로 정의한다)(Where x is weight, h D is amplitude = 1, P KDE (x) is a smooth density function estimation using a Gaussian filter (kernel) corresponding to x, K is a Gaussian kernel function, and N is a Gaussian filter size of 49 Is defined as)
  14. 제 13항에 있어서,The method of claim 13,
    상기 식용 가금류의 출하시기를 예측하는 단계는,The step of predicting the shipment of the edible poultry,
    기 입력된 일령별 기준 중량데이터를 미분한 미분값을 기반으로 향후 일정 기간의 예상 평균중량을 도출하여 출하시기를 예측하는 것을 특징으로 하는 식용 가금류의 평균중량 산출 및 출하관리 시스템을 이용한 출하관리 방법.Calculation of average weight of edible poultry and shipment management method using shipment management system, characterized in that it predicts shipment by deriving expected average weight for a certain period of time based on the differential value that differentiates the standard weight data for each age group. .
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